Brain Corp is an AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain’s robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within Brain Corp’s engineering organization leading the design and development of large-scale, high-availability systems powering Brain Corp’s cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands-on to the architecture, design, and implementation of next-generation cloud services. The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud-based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role is located in our Utrecht, Netherlands office.

Essential Job Functions:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Education and/or Work Experience Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale

Required Knowledge, Skills, Abilities and Other Characteristics:

• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale

Things that Make a Difference:

• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Benefits and Perks

In addition to base pay, our competitive total rewards package consists of:

- Hybrid Work Schedule: We operate on a hybrid model, with three days in the office (Monday, Tuesday, and Thursday).

- Flexible Hours: We are not a traditional 9-5 company and offer flexibility. Please note that as our HQ is in San Diego, some coordination may occur outside of local business hours.

- Unlimited PTO: We offer an unlimited paid time off policy.

- Paid Lunch: Lunch is provided/paid for by the company.

- Holiday Observance: We recognize all national holidays.

- Office Environment & Location: We maintain an informal work environment, and our office is conveniently located directly on a major train station hub.

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet’s data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

You will join a collaborative team of Software Engineers responsible for delivering high quality software that supports satellite-related solutions (web based GUIs and public facing APIs). You will be involved in all phases of the Software Development Life Cycle and engage with the latest software technologies. You will also be part of a cross-functional team working in an Agile, highly collaborative, cross-functional environment in which we strive to build quality into every step of the delivery process.

This role emphasizes teamwork, process improvement, and shared ownership. The ideal candidate is innovative, results-driven, proactive, and an effective communicator with a mix of curiosity and passion for satellite technologies.

This is a part-time, in-office position based in our Berlin office approximately 3 days per week.

Impact You’ll Own:

• Participate in all phases of the Software Development Life Cycle (SDLC), from requirements analysis to deployment, including planning, feature implementation, test automation.
• Contribute to maintenance and improvement of existing tools and test automation frameworks, microservice applications and test data management.
• Support internal workflows and prepare documentation.

What You Bring:

• Enrolled in a Bachelor’s/Master’s degree.
• Basic knowledge of Python or Javascript/Typescript.
• Tech savvy: eager to learn new technologies and skills.
• Ability to work in a dynamic team environment.
• Creative thinker with the ability to approach problems from multiple angles.
• Professional working proficiency in English, the language of the company.

What Makes You Stand Out:

• Development background using Python, Javascript, Typescript, Git.
• Web Application development experience.
• Understanding of DevOps and CI/CD concepts.
• Familiarity with testing practices, API testing and Python (pytest)..
• Excellent organizational skills and detail-oriented.

Application Deadline:

September 7, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off
• Employee Wellness Program
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Volunteering Paid Time Off

San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please… do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy: By clicking “Apply Now” at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Privacy Policy (European Applicants): By clicking “Apply Now” at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate’s consent, select interviews may be recorded and include a “Planet AI Notetaker” for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one’s candidacy.

Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

This is an great opportunity for a Junior Software Developer to join our office in Edinburgh. You’ll be part of the Payment team, who are the experts in Avaloq’s end-to-end Payments and Cash Operations solutions and maintain, improve and innovate the associated modules throughout all software layers. This ranges from customer-specific configuration for our SaaS clients and the Avaloq Banking Standard (ABR/S) for the various markets, down to the innermost core development for each of our clients.

Comprising of talented software developers, business analysts, and consultants from around the world, we collaborate in a dynamic and innovative environment. You’ll become a trusted subject matter expert within your functional area, taking on a diverse range of assignments that will keep you challenged and engaged.

This role would be ideal for a junior software developer who is motivated to learn new skills, values customer interaction and thrives on crafting customization layers that enhance user experience. In return for your commitment to this role, you will have a unique opportunity to explore your area of expertise within the various markets and to play an active part along the entire value chain.

Your key tasks:

• Design innovative solutions for new developments in collaboration with our technical leads and architects.
• Implement cutting-edge business functionality, aligning with the appropriate software layers and enhancing reliability through automated testing.
• Take full ownership of your modules, working closely with your team to maintain and optimize functionality.
• Foster collaboration with colleagues both within the team and across departments, building solid partnerships for success.

Qualifications

• University degree in Software Engineering, Mathematics, Computer Science or related discipline
• Fantastic rapport building skills and client-focused approach
• Proficient programming, analytical and problem-solving skills
• Drive to learn new skills
• An interest in banking

It would be a real bonus if you have:

• Experience working in the Financial Services industry
• Knowledge of PL/SQL and relational database systems
• Business know-how or operational experience in Payments
• Awareness or experience of Agile methodologies

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

About Rundoo ℹ️

Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery—these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We’re aiming to help them modernize so that they can continue to thrive.

Backed by leading investors including Bessemer and CRV, we’ve raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.

About the role 💼

You’ll be based out of our Redwood City office and work in person with the rest of our engineering team. As a Software Engineer, you’ll ship features end-to-end across our stack: a Go backend, a TypeScript/React web app, and React Native mobile apps. Your work goes directly to the supply-store owners and staff who run their businesses on Rundoo every day.

You’ll report to one of our engineering leads and work in a small pod of about 4–5 engineers. You’ll own clearly-scoped projects from start to rollout, get deep in the part of the product your pod owns, and build your system and product intuition with mentorship from senior engineers through pairing and code review. It’s a good fit for someone 1–3 years into their career.

What you’ll do as a Software Engineer at Rundoo 🗒️

• Ship features end-to-end, from the proto and backend logic to the web and mobile UI

• Own small, clearly-scoped projects (typically 1–3 weeks) with limited direction, from scoping through rollout

• Go deep in your pod’s part of the product so you can fix arbitrary bugs and add new features with confidence

• Align with PM and tech lead on what you’re building and why, and write tickets clear enough for another engineer to pick up

• Talk to clients directly, calling stores to research how they work and to get their feedback on what you’ve shipped

• Write design docs for your features and reason about how your work interacts with adjacent systems

• Review teammates’ code and act on the feedback you get, keeping our codebase readable and maintainable

• Spot broken team processes and fix them, automating manual work where it speeds up delivery

Requirements ☑️

• 1–3 years of professional software engineering experience

• Solid command of computer-science fundamentals and fluency in at least one production language

• Comfort shipping features end-to-end and debugging across the stack

• Based in (or willing to relocate to) the Bay Area and able to work in person 4 days a week in our Redwood City office

Bonus points 🌟

• Experience with Go, TypeScript/React, or React Native

• Experience at an early-stage startup, or another fast-moving environment

• Familiarity with ERP, POS, payments, or other system-of-record software

Compensation 💵

• Base Salary: $186K

• Equity package of $101K / 0.0440% / 7,602 options

Meet some of the team 👥

• George: Studied computer science and math at Stanford; worked a couple internships at Meta + some startups in Denver; jaywalking ticket recipient 🦹

• Santi: Studied CE and played varsity soccer at Waterloo: internships at Replicant and other Canadian startups

• Vidya: Studied Computer Science at UC Berkeley; worked at Ironclad for 5 years as a Software Engineer and Engineering Manager; south Indian classical dancer

• Umer: CS at NUS; interned at Visa and a couple of startups in Singapore. Has an identical twin 👯‍♂️

• Jordan: Studied computer engineering at Waterloo; did internships at IBM, Rivian, and a couple startups; Played the Saxophone professionally for a while 🎷

Interview Process 🎤

1. Intro Call (20 mins) – Meet a recruiter to learn more about each other

2. Round 1 (45 mins, remote) – Coding screen with an engineer

3. Round 2 (45 mins, remote) – System design screen with one of our engineer

4. Onsite (~4–5 hours) – A mix of technical and culture interviews with the team

About our founders 🌲

1. Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)! 🩰

2. Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company 🍫

How we’ve fundraised 💰

We’ve raised $18m across three rounds:

1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.

2. A $5m seed led by Caitlin Bolnick Rellas at CRV.

3. An $11m series A led again by Bessemer and CRV.

Brain Corp is an AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain’s robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within Brain Corp’s engineering organization leading the design and development of large-scale, high-availability systems powering Brain Corp’s cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands-on to the architecture, design, and implementation of next-generation cloud services. The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud-based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role is located in our Utrecht, Netherlands office.

Essential Job Functions:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Education and/or Work Experience Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale

Required Knowledge, Skills, Abilities and Other Characteristics:

• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale

Things that Make a Difference:

• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Benefits and Perks

In addition to base pay, our competitive total rewards package consists of:

- Hybrid Work Schedule: We operate on a hybrid model, with three days in the office (Monday, Tuesday, and Thursday).

- Flexible Hours: We are not a traditional 9-5 company and offer flexibility. Please note that as our HQ is in San Diego, some coordination may occur outside of local business hours.

- Unlimited PTO: We offer an unlimited paid time off policy.

- Paid Lunch: Lunch is provided/paid for by the company.

- Holiday Observance: We recognize all national holidays.

- Office Environment & Location: We maintain an informal work environment, and our office is conveniently located directly on a major train station hub.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

What you’ll do:

• Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production.
• Bring your own point of view on best engineering practices.
• Be hands-on and contribute to the implementation.
• Identify and improve parts of the platform to make it more robust and scalable.
• Your code will be used at scale and you are expected to think in that mindset when building features.
• We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers.
• Build APIs and tooling according to quality principles such as performance and code quality.
• Collaborate across teams and time zones to get projects over the finish line.

Who you are:

• You’re not just a coder; you’re an engineer with an ownership mentality.
• You have experience with Java, Web Services, REST Apis, Webhooks and SQL/PostgreSql.
• You have a good understanding of Software Engineering practices and interest in product knowledge.
• You are familiar with complex large scale distributed systems.
• You value involving other people to hear different perspectives.

Minimum qualifications:

• 5+ years of experience in the software development industry
• Full professional proficiency in English
• This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

The annual base salary range for this role is $154,000 - $243,000; to learn more about our compensation philosophy, please click here .

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Chicago office. We have a hybrid workplace and value in-person collaboration; we do not offer remote-only roles.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Product Developer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone who can operate across the full stack while deeply integrating AI into product experiences. This role sits at the intersection of engineering, product thinking, and applied AI—ideal for someone who doesn’t just build features, but shapes intelligent systems that deliver real user value.

You’ll work on designing, building, and scaling applications that leverage modern AI capabilities (LLMs, embeddings, automation pipelines) alongside traditional web architecture.

What You’ll Do

• Design and build full-stack applications from concept to production (frontend, backend, APIs)
• Integrate AI capabilities into products (e.g., LLMs, vector search, AI workflows, agents)
• Collaborate with product and design to define features, UX, and system behavior
• Architect scalable backend systems and data flows (including API-first and event-driven patterns)
• Rapidly prototype and iterate on AI-driven features and products
• Evaluate and implement third-party AI tools, APIs, and infrastructure
• Optimize performance, reliability, and cost of AI systems
• Write clean, maintainable, and well-tested code
• Contribute to product strategy, not just implementation

⠀

Required Skills

• Strong experience across the stack:
  • Frontend: React, Next.js, Astro or similar modern frameworks
  • Backend: Node.js, PHP, Python or similar
  • APIs: REST and/or GraphQL
• Experience building and shipping production applications
• Familiarity with integrating AI APIs (e.g., OpenAI, Anthropic, etc.)
• Understanding of:
  • Prompt engineering
  • Embeddings and vector databases
  • Retrieval-augmented generation (RAG)
• Experience with cloud platforms (AWS, GCP, or similar)
• Solid grasp of data modeling and system design

⠀

Bonus Skills

• Experience building AI-native products or features
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Upstash Vector)
• Experience with edge computing or serverless platforms
• Background in developer platforms or API-first products
• Knowledge of ML fundamentals (fine-tuning, evaluation, model selection)
• Experience with real-time systems or streaming data
• Startup or small-team experience (wearing multiple hats)

⠀

How You Work

• Product-minded: you think in terms of user outcomes, not just code
• Comfortable with ambiguity and rapid iteration
• Bias toward shipping and learning quickly
• Able to balance speed with scalability and maintainability
• Strong communicator across technical and non-technical stakeholders

⠀

Example Projects You Might Work On

• Building an AI-powered search or recommendation system using RAG
• Creating internal tools that automate workflows using LLM agents
• Developing customer-facing features powered by generative AI
• Designing APIs that expose AI capabilities to other products
• Prototyping new AI-driven product ideas and taking them to production

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $75,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, evaluate, and govern AI-powered mission workflows across highly dynamic operational environments. We are expanding our AI/ML presence in Rome, NY to support Air Force Research Laboratory (AFRL) and are looking for a hands-on AI/ML Engineer to contribute directly to model development, evaluation, and operational AI delivery.

About the role:

As an AI/ML Engineer embedded in Rome, NY, you will work directly on model development efforts while leveraging and extending [R]AIMS platform capabilities to accelerate experimentation, evaluation, deployment, and operational transition. This is a highly hands-on role for an engineer who wants to build real-world AI systems with direct mission impact.

You will work closely with platform engineers, AI leadership, and mission stakeholders to move models from experimentation through production. The work sits at the intersection of applied machine learning, model training and evaluation, AI platform engineering, and operational AI deployment. You will need to be comfortable operating across that full span: writing training pipelines one day, integrating a model into a containerized deployment the next, and briefing a technical stakeholder on evaluation results the day after that.

What You’ll Do:

• Build and evaluate machine learning models for mission-relevant use cases working directly with government researchers and program stakeholders to understand requirements and translate them into executable technical solutions
• Develop and maintain model training, fine-tuning, and benchmarking workflows that are reproducible, well-documented, and usable by teammates without hand-holding
• Build and improve evaluation pipelines for repeatable, rigorous performance measurement across model architectures, datasets, and operational scenarios
• Integrate models into production-ready [R]AIMS platform infrastructure, working with platform engineers to ensure deployments are containerized, observable, and operationally sustainable
• Support experimentation across model architectures and datasets, maintaining clear records of results and surfacing actionable findings to AI leadership and mission stakeholders

What we are looking for:

• 3 to 6 years of hands-on experience building and shipping production software or AI/ML systems
• Strong Python software engineering skills; writes clean, maintainable, production-quality code rather than notebook-only scripts
• Demonstrated experience developing and evaluating machine learning models, with a clear understanding of what makes an evaluation rigorous versus misleading
• Hands-on familiarity with modern ML frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face
• Experience building and managing model training pipelines and experimentation workflows at a level beyond tutorial projects
• Experience working with distributed systems or cloud-native environments; comfortable in infrastructure that isn’t fully managed for you
• Strong debugging instincts; able to diagnose failure modes in complex pipelines and explain findings clearly to both technical and non-technical audiences
• Ability to work independently and manage workstreams without close supervision while staying well-integrated with a distributed team
• Strong written and verbal communication skills; able to produce clear technical documentation, status updates, and evaluation summaries
• Ability to obtain Security+ certification within the first 90 days of employment
• S. citizenship required; ability to obtain and maintain a Top Secret/SCI clearance

Highly Preferred:

• Experience fine-tuning foundation models, LLMs, or multimodal models for specific domain tasks or constrained operational environments
• Experience designing or operating model evaluation frameworks and benchmarking pipelines at scale
• Experience with Kubernetes and containerized ML workloads, including deploying and debugging GPU-enabled inference services
• Experience with distributed training or large-scale inference systems
• Familiarity with streaming or event-driven architectures such as Kafka or Flink, particularly as they relate to real-time model inputs or outputs
• Experience building secure, compliant AI systems for regulated or mission-critical environments, including familiarity with RMF or IL requirements
• Prior defense, national security, or government R&D experience, particularly with AFRL or Air Force programs
• Experience working in prototype-to-production environments where research artifacts need to become operational systems
• Active Secret or Top Secret clearance strongly preferred

What Success Looks Like

• Models developed and evaluated at AFRL are delivered with clear, rigorous documentation of performance, limitations, and operational considerations—not handed off as black boxes
• Evaluation pipelines are repeatable and trusted by the broader team; results are reproducible and traceable
• Model integrations into [R]AIMS are clean, containerized, and maintainable by platform engineers without needing the original model developer in the loop
• AFRL stakeholders view Raft as a technically credible, reliable partner; your presence in Rome strengthens that relationship over time
• The gap between experimentation and operational deployment shortens with each program cycle because of the infrastructure and workflows you helped build

Clearance Requirements:

• No clearance required to start
• Must be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance strongly preferred

Salary Range: $170,000.00 - $220,000.00

Work Type:

• Hybrid in Rome, NY; candidates must be based in or willing to relocate to the Rome, NY area to support a hybrid schedule
• Up to 25% travel

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments.

As a Senior DevOps Engineer at Raft, you won’t be operating in a pure infrastructure lane. You will be expected to understand the software you’re deploying, contribute to it when needed, and engage with the data pipelines flowing through the systems you manage. This is a role for someone who thinks end-to-end, from data ingest and pipeline performance through to Kubernetes-based deployment, observability, and secure operations in defense environments.

You will work across cloud and on-premises environments, partner closely with software and data engineers, and help Raft maintain the operational rigor and platform reliability that our most demanding customers depend on.

What You’ll Do

• Design, implement, and maintain secure Kubernetes-based infrastructure supporting data platform workloads across cloud and on-premises environments
• Build, manage, and improve CI/CD pipelines using GitLab and GitOps-based delivery patterns, enabling reliable, repeatable deployments across multiple classification levels
• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Ansible to provision, configure, and lifecycle-manage platform infrastructure
• Collaborate directly with software engineers to understand service architectures, dependencies, and runtime behavior, and contribute code-level changes where needed to improve deployability, reliability, or observability
• Support and optimize data streaming and processing pipelines built on technologies such as Kafka, Kafka Streams, Flink, and Pinot, diagnosing bottlenecks, tuning configurations, and ensuring data integrity across the platform
• Implement and manage platform observability using monitoring (Prometheus, Grafana), logging (Fluentbit, Loki, Kibana), and alerting tooling to maintain operational awareness in production environments
• Apply and enforce DevSecOps practices including container hardening, vulnerability scanning, software supply chain security, and compliance-driven deployment patterns in regulated government environments
• Manage and debug complex Helm chart deployments, service mesh configurations (Istio), and Kubernetes networking across multi-cluster and multi-environment topologies
• Support operations across multiple deployment targets, cloud-hosted (AWS, Azure), on-premises data centers, and edge/tactical environments, adapting platform patterns to the constraints of each
• Write clean, maintainable automation and tooling in Java or Go to accelerate platform operations, reduce toil, and improve developer experience across engineering teams
• Engage directly with customers at the most operationally demanding locations in the Department of War

What we are looking for:

• 5+ years of relevant hands-on experience in DevOps or platform engineering roles.
• 5+ years of production experience with Docker and Kubernetes, including provisioning, operating, and troubleshooting clusters in real-world environments
• Strong experience building and maintaining CI/CD pipelines, with hands-on proficiency in GitLab CI, GitOps workflows (Flux, ArgoCD), and modern software delivery practices
• Experience supporting data-intensive platforms using streaming technologies such as Kafka, or Flink, including configuration, tuning, and operational support
• Solid understanding of data engineering fundamentals, including ETL/ELT pipeline design, data storage patterns, data governance concepts, and integration with downstream consumers
• Proficiency with Infrastructure as Code tooling, particularly Terraform; experience with Ansible or similar configuration management tools
• Strong Helm proficiency, including authoring and maintaining charts for complex multi-service deployments
• Hands-on experience with platform observability tooling: Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana
• Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases, not just deploying them
• Experience with cloud infrastructure on AWS and/or Azure, including networking, IAM, storage, and managed Kubernetes services
• Strong systems thinking, troubleshooting discipline, and the ability to work independently in a fast-moving environment with competing priorities
• Experience applying secure and compliant deployment practices in regulated or government environments
• Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance
• Ability to obtain Security+ certification within the first 90 days of employment
• Ability to travel up to 25%

Highly preferred:

• Experience with service mesh technologies, particularly Istio, including traffic management, mTLS, and observability integration
• Familiarity with Kubernetes-based ML/AI platforms such as Kubeflow, KServe, or Ray, and experience supporting GPU-enabled workloads
• Experience with software supply chain security tools including container image scanning, SBOM generation, and runtime vulnerability management
• Background supporting deployments across multiple classification levels or air-gapped / disconnected environments
• Experience with package and dependency management across polyglot environments (Maven, Gradle, NPM, Yarn, pip)
• Familiarity with compliance frameworks relevant to DoW software deployment, including RMF, STIGs, and IL4/IL5/IL6 requirements
• Contributions to or ownership of internal developer platforms, golden path tooling, or shared infrastructure services
• Experience with distributed tracing and APM tooling (e.g., OpenTelemetry, Jaeger, Tempo)
• Existing TS/SCI clearance strongly preferred

What Success Looks Like

• Platform deployments are reliable, repeatable, and secure across every environment Raft operates in, from commercial cloud to classified on-premises
• Engineering teams move faster because CI/CD workflows, infrastructure tooling, and deployment patterns are solid, well-documented, and easy to use
• Data pipelines running through Raft’s platform are stable, observable, and performant, with clear ownership of issues when they arise
• You’ve earned the trust of software engineers by understanding what they’ve built and engaging meaningfully in conversations about architecture, runtime behavior, and operational trade-offs
• Compliance and security posture across deployment environments is continuously maintained, not bolt-on

Clearance Requirements:

• Minimum active Secret clearance with ability to obtain and maintain an active TS SCI security clearance

Salary Range: $150,000.00 - $200,000.00

Work Type:

• Hybrid with up to 25% travel
• Active Secret clearance required to start; TS/SCI eligibility required

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

The Role:

We are looking for a senior executive in Germany, Munich, to lead our Global Core Platform and Infrastructure function. The VP of Core Platform & Infrastructure is a high-impact engineering executive responsible for the foundational technical layers that power the entire Celonis ecosystem. You will lead the engineering teams that build and operate the “Metadata Platform,” the “Platform Core Services” (PCS), and the “Platform Infrastructure” (PI). Your mission is to architect and provide a robust, secure, and scalable technical foundation that allows every Celonaut in the engineering organization to deliver enterprise-ready capabilities with maximum autonomy and minimum friction.

The work you’ll do:

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

Strategic Technical Leadership & Architecture

• Platform Evolution: Drive the “Bedrock” infrastructure strategy and architecture across AWS, Azure, and GCP, overseeing the Kubernetes platform, Traffic routing (Cilium), and IaC automation (Celoplane/Argo CD).
• Foundational Excellence: Lead the PCS engineering organization to build and deliver standards-based Identity Management, Provisioning, and Licensing systems that enhance the overall resilience, security, and future-readiness of the Celonis platform backend.
• Data Infrastructure Stewardship: Manage the technical lifecycle and architecture of the Metadata Platform, engineering secure, high-availability data layers through services like PacMan, RabbitMQ (messaging), and Redis (caching).
• Internal Developer Experience (DevEx): Continuously evolve our internal tooling and foundational services, empowering internal engineering squads to autonomously deliver scalable capabilities via robust self-service APIs and automated pipelines.
• Global Market Expansion Infrastructure: Act as the primary technical driver for automated market expansion into new realms via the Orbit platform, ensuring a highly available, trusted foundation for enterprise scaling.

Engineering Strategy & Execution

• Platform Delivery Strategy: Lead the engineering lifecycle for internal tools and core services, driving a culture of technical excellence by defining strict SLAs, developer-centric documentation, and highly reliable self-service architectures for all Celonauts.
• Cross-Functional Technical Orchestration: Act as the primary technical interface with other Engineering leaders to prioritize foundational “Enterprise-Ready” backend features—such as advanced licensing models and complex identity governance—ensuring they are built and delivered as proactive enablers.
• Standardization & Modernization: Define and execute the technical roadmap for the deployment of secure, scalable, and standards-based identity and authentication architectures, deprecating and replacing legacy backend mechanisms across the platform.

The qualifications you need:

• Proven Executive Experience: 10+ years in software engineering leadership, specifically managing large-scale cloud-native platforms, infrastructure engineering, and shared service organizations.
• Technical Depth: Deep, hands-on architectural expertise in Kubernetes, multi-cloud environments (AWS, Azure, GCP), and modern identity standards (OIDC/SAML/OAuth).
• Infrastructure Specialist: Significant engineering experience with Infrastructure-as-Code (IaC), automated routing/connectivity (Cilium), and global realm automation at an enterprise scale.
• Platform Engineering Mindset: A strong focus on building robust Internal Developer Platforms (IDP), balancing the technical scaling needs of internal developer squads with strict enterprise architecture and security requirements.
• Data Services Proficiency: Solid technical understanding of managing and scaling distributed data services, including block/object storage, messaging layers (RabbitMQ), and caching (Redis).
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Advanced degree, PhD, or similar preferred.

What Celonis can offer you:

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
• Ownership from Day 1: Every full-time “Celonaut” is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
• Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
• Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
• Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
• Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated “Wellness Weeks” that prioritize work/life balance.
• Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
• Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
• Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that’s when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Mark43 is a public safety technology company trusted by over 200 police forces worldwide. We build cloud-native software on AWS that police forces and emergency services rely on in their most critical moments, from managing custody records to dispatching officers in the field.

Our UK team of 25 is based in Central Manchester, helping British police forces replace outdated, fragmented systems with modern, resilient software. We’re part of a 400-person global company, but the UK team operates with startup energy: small enough that your work is visible, big enough that you’re backed by serious investment.

We’re hiring Senior Software Engineers who want to build systems that genuinely matter.

What You’ll Do

You’ll work across the full stack, building the software that UK police custody suites depend on every day. Our team owns features end-to-end, from database migration to UI and our stack includes:

• Frontend: React, TypeScript
• Backend: Java, Spring Boot
• Data: MySQL, GraphQL
• Infrastructure: AWS, Kubernetes, Argo CD, Terraform
• Observability: Datadog

We’re also genuinely investing in how AI changes the way we build software. We don’t just use Copilot for autocomplete. We’re building agentic workflows into our development process, using tools like Claude Code to automate routine work, accelerate code review, and let engineers focus on the problems that actually need human judgement. If you’re excited about shaping how a team works with AI, not just using it, this is the place.

If you were on the team last week, you might have:

• Designed and shipped a new workflow for custody officers processing detainees, from GraphQL schema through to React components

• Investigated a production issue using Datadog traces and logs, then pushed a fix the same day

• Paired with a teammate to untangle a tricky state management problem in a booking form

• Built an agentic workflow that reviews PRs, learns from human feedback, and posts weekly engineering highlights to Slack, all automatically

• Managed a cross-team feature end-to-end — designed the architecture, broke work into parallel workstreams, and coordinated junior engineers to deliver on time

• Reviewed a pull request, spotted a change that would unintentionally affect other parts of the app, and directed a safer approach in the comments

• Prototyped a new idea at one of the hackathons we run twice a year, a chance to experiment with new tech, explore wild ideas, and ship something fun with no constraints

What You’ll Need

You write clean, maintainable code and care about the impact of your work. We’re an AI-first team. AI tools are part of how we work every day — writing code, reviewing pull requests, investigating issues, and automating routine work. We expect you to be comfortable working alongside AI and keen to push what’s possible with it.

You should have:

• Professional software engineering experience, including ownership of complex systems and delivery of large-scale technical initiatives

• Experience mentoring and supporting other engineers

• Strong technical judgement and the ability to make architectural decisions

• Experience leading projects across multiple teams or domains, influencing technical direction beyond your immediate area

• A strategic mindset, with the ability to balance immediate delivery with long-term technical health

• Experience with our stack: Java, JavaScript, TypeScript + React, and MySQL

• Experience with AI-assisted development tools like Claude Code and how they can improve your workflow

• A strong sense of ownership and accountability for both technical outcomes and team success

• Confidence operating in ambiguous environments and helping teams navigate technical trade-offs

• A collaborative mindset and strong communication skills

What We Offer

• 28 days holiday plus UK bank holidays

• Private medical, dental, and vision insurance through AXA Health and BUPA, fully paid for you and your dependents

• 18 weeks paid parental leave (gender-neutral, for both primary and secondary caregivers) plus a ramp-back programme

• Income protection (75% of salary) and death in service cover (4x salary), fully paid

• Pension through Nest with 3% employer contribution

• Gym reimbursement for you and your partner

• Equipment allowance to set up your home office

• AI tooling including Claude Code Enterprise, Microsoft Copilot, and ChatGPT Enterprise licences provided

• Spring Health membership with therapy sessions and mental wellness tools, fully covered

• Company performance-based bonus

• Paid sabbatical of one month at your five-year anniversary

• Biannual hackathons, learning budget, and a team that genuinely invests in your growth

What We Value

• Humility. You know the best ideas win, no matter where they come from. You ask questions before making assumptions and you’re as happy being wrong as being right, because either way, the team gets to a better answer.

• Inclusivity. You respect expertise in all its forms and actively seek out perspectives different from your own. You make space for others and assume good intent.

• Excellence. You care about quality in your code, your reviews, and how you communicate. You’re not satisfied with “it works” when it could be better, and you encourage the same standard in those around you.

• Diligence. You take ownership, mind the details, and understand that the software we build is used in moments that genuinely matter. You don’t cut corners when people are depending on the outcome.

Location

This role is based at our Central Manchester office and follows a hybrid work model.

Applicants must be authorised to work in the UK. We are unable to sponsor or take over sponsorship of an employment visa at this time.

This role may require you to complete Non-Police Personnel Vetting (NPPV) security clearance up to level 3.

We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a target base annual salary range of £90k-125k, plus bonus opportunity, company stock options, and a full benefits package. Please note that the higher end of this range will be reserved for candidates with appropriate experience who reside in high cost of labormarkets.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.

Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team.

As a part of Mark43’s security measures all employees must: Engage in appropriate use of the company’s electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts.

Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.

ELEKS Quality Assurance Office is looking for a Strong Middle / Senior Automation Test Engineer (Python) in Kyiv, and Western Ukraine.

ABOUT PROJECT

Our client is a US-based leading national services and online solutions provider to community and regional banks and credit unions.

We’re looking for someone who pushes testing left rather than waits for tickets, who treats AI tools like Claude Code as a core part of how they work, and who sees a regression suite that has grown organically over time as an opportunity rather than a chore.

REQUIREMENTS

• 4+ years of software quality assurance experience
• Strong coding skills in Python, with the judgment to recognize test code that needs work and the skill to improve it
• Experience designing automated test frameworks, not just writing tests inside someone else’s framework
• Proven experience testing RESTful web services and web applications in a cloud environment (Azure preferred)
• Comfort working across the test pyramid — unit, integration, and end-to-end — and a clear opinion on where each layer earns its keep
• Comfort reasoning about numerical correctness — tolerances, golden masters, and regression of calculated outputs, not just HTTP 200s
• Working knowledge of CI/CD pipelines (Azure DevOps or similar) and a point of view on what belongs in pre-merge vs. nightly vs. release gates
• Awareness of security and compliance considerations in financial software — authorization testing, dependency scanning, and careful handling of sensitive data in test environments
• A habit of measuring quality — escape rate, flake rate, coverage trends — and using those numbers to drive decisions
• Familiarity with Selenium WebDriver, Postman, or equivalent tools (BDD/Gherkin/Cucumber is a plus)
• Genuine curiosity about AI-assisted development tools and a track record (or strong desire) to apply them to QA work
• Excellent communication — you’ll push back on developers, ask hard questions in grooming, and explain quality tradeoffs to business stakeholders
• A quality mindset that goes beyond test execution — you care about where a bug should have been caught, not just that it was caught
• Bachelor’s degree in Computer Science, Mathematics, Business, or related discipline
• Intermediate high level of English

NICE TO HAVE

• Experience modernizing or evolving an existing automated test framework
• Experience with Playwright or modern web E2E tooling (we’re open to evolving past Selenium)
• Experience with contract testing (Pact or similar) for API surfaces shared between clients
• Experience testing calculation engines, pricing engines, or risk models where numerical accuracy is the product
• Familiarity with the business model of a community bank or credit union
• Financial solutions or financial analysis background
• Experience with Claude Code, Copilot, or similar AI development tools applied to testing

RESPONSIBILITIES

• Strengthen and extend our automated regression framework so the team can trust the results on every nightly run — assess the current state, propose a path forward, and execute
• Push testing left: when a nightly regression catches a defect, drive a unit or integration test to catch the same class of problem on the next build
• Build and maintain unit, integration, and end-to-end tests across our stack — Python test framework, C# APIs running in Azure, SQL and MongoDB
• Own the quality of the numbers, not just the code — build golden-master and tolerance-based tests for the financial calculations at the heart of BASIS and AtlasOne, where a basis point of drift in a projection is a defect that needs to be caught
• Own the CI/CD quality gates — decide what blocks a merge, what blocks a release, and how flaky tests get quarantined rather than ignored
• Treat performance as a quality attribute — stand up performance regression coverage for calc-heavy paths so we catch slowdowns the same week they’re introduced, not the quarter a client notices
• Close the loop with production — work alongside the team to monitor Azure alerts, logs, and traces; investigate escaped defects from production support tickets; and feed what you find back into the right test layer
• Develop, document, and execute functional and regression tests across both the established BASIS desktop client and the growing web-based experience that is replacing it; help us continually improve how we automate testing across both applications as the platform evolves
• Use AI tools like Claude Code to expand coverage, generate test scaffolding, and continuously sharpen our QA process
• Help raise the floor on what “tested” means across the team — partner with developers on testable design, review test code in PRs, and share what you learn so quality becomes a shared discipline
• Diagnose application issues using browser dev tools (Chrome, Edge) and database tooling (SQL, MongoDB)
• Manage story and bug tickets from creation through closure
• Collaborate with business analysts and developers to refine requirements before they become defects
• Participate in Agile ceremonies — standups, planning, grooming, retros — but expect those to feel more like working conversations than process for its own sake. We’re a tight-knit team that values people who reach out, ask questions, and enjoy collaborating
• Serve as second-level support for internal user questions and issues

WHAT YOU WILL GET WITH ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Team of professionals
• Dynamic environment with a low level of bureaucracy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

ELEKS Quality Assurance Office is looking for a Strong Middle / Senior Automation Test Engineer (Python) in Kyiv, and Western Ukraine.

ABOUT PROJECT

Our client is a US-based leading national services and online solutions provider to community and regional banks and credit unions.

We’re looking for someone who pushes testing left rather than waits for tickets, who treats AI tools like Claude Code as a core part of how they work, and who sees a regression suite that has grown organically over time as an opportunity rather than a chore.

REQUIREMENTS

• 4+ years of software quality assurance experience
• Strong coding skills in Python, with the judgment to recognize test code that needs work and the skill to improve it
• Experience designing automated test frameworks, not just writing tests inside someone else’s framework
• Proven experience testing RESTful web services and web applications in a cloud environment (Azure preferred)
• Comfort working across the test pyramid — unit, integration, and end-to-end — and a clear opinion on where each layer earns its keep
• Comfort reasoning about numerical correctness — tolerances, golden masters, and regression of calculated outputs, not just HTTP 200s
• Working knowledge of CI/CD pipelines (Azure DevOps or similar) and a point of view on what belongs in pre-merge vs. nightly vs. release gates
• Awareness of security and compliance considerations in financial software — authorization testing, dependency scanning, and careful handling of sensitive data in test environments
• A habit of measuring quality — escape rate, flake rate, coverage trends — and using those numbers to drive decisions
• Familiarity with Selenium WebDriver, Postman, or equivalent tools (BDD/Gherkin/Cucumber is a plus)
• Genuine curiosity about AI-assisted development tools and a track record (or strong desire) to apply them to QA work
• Excellent communication — you’ll push back on developers, ask hard questions in grooming, and explain quality tradeoffs to business stakeholders
• A quality mindset that goes beyond test execution — you care about where a bug should have been caught, not just that it was caught
• Bachelor’s degree in Computer Science, Mathematics, Business, or related discipline
• Intermediate high level of English

NICE TO HAVE

• Experience modernizing or evolving an existing automated test framework
• Experience with Playwright or modern web E2E tooling (we’re open to evolving past Selenium)
• Experience with contract testing (Pact or similar) for API surfaces shared between clients
• Experience testing calculation engines, pricing engines, or risk models where numerical accuracy is the product
• Familiarity with the business model of a community bank or credit union
• Financial solutions or financial analysis background
• Experience with Claude Code, Copilot, or similar AI development tools applied to testing

RESPONSIBILITIES

• Strengthen and extend our automated regression framework so the team can trust the results on every nightly run — assess the current state, propose a path forward, and execute
• Push testing left: when a nightly regression catches a defect, drive a unit or integration test to catch the same class of problem on the next build
• Build and maintain unit, integration, and end-to-end tests across our stack — Python test framework, C# APIs running in Azure, SQL and MongoDB
• Own the quality of the numbers, not just the code — build golden-master and tolerance-based tests for the financial calculations at the heart of BASIS and AtlasOne, where a basis point of drift in a projection is a defect that needs to be caught
• Own the CI/CD quality gates — decide what blocks a merge, what blocks a release, and how flaky tests get quarantined rather than ignored
• Treat performance as a quality attribute — stand up performance regression coverage for calc-heavy paths so we catch slowdowns the same week they’re introduced, not the quarter a client notices
• Close the loop with production — work alongside the team to monitor Azure alerts, logs, and traces; investigate escaped defects from production support tickets; and feed what you find back into the right test layer
• Develop, document, and execute functional and regression tests across both the established BASIS desktop client and the growing web-based experience that is replacing it; help us continually improve how we automate testing across both applications as the platform evolves
• Use AI tools like Claude Code to expand coverage, generate test scaffolding, and continuously sharpen our QA process
• Help raise the floor on what “tested” means across the team — partner with developers on testable design, review test code in PRs, and share what you learn so quality becomes a shared discipline
• Diagnose application issues using browser dev tools (Chrome, Edge) and database tooling (SQL, MongoDB)
• Manage story and bug tickets from creation through closure
• Collaborate with business analysts and developers to refine requirements before they become defects
• Participate in Agile ceremonies — standups, planning, grooming, retros — but expect those to feel more like working conversations than process for its own sake. We’re a tight-knit team that values people who reach out, ask questions, and enjoy collaborating
• Serve as second-level support for internal user questions and issues

WHAT YOU WILL GET WITH ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Team of professionals
• Dynamic environment with a low level of bureaucracy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

ELEKS Quality Assurance Office is looking for a Strong Middle / Senior Automation Test Engineer (Python) in Kyiv, and Western Ukraine.

ABOUT PROJECT

Our client is a US-based leading national services and online solutions provider to community and regional banks and credit unions.

We’re looking for someone who pushes testing left rather than waits for tickets, who treats AI tools like Claude Code as a core part of how they work, and who sees a regression suite that has grown organically over time as an opportunity rather than a chore.

REQUIREMENTS

• 4+ years of software quality assurance experience
• Strong coding skills in Python, with the judgment to recognize test code that needs work and the skill to improve it
• Experience designing automated test frameworks, not just writing tests inside someone else’s framework
• Proven experience testing RESTful web services and web applications in a cloud environment (Azure preferred)
• Comfort working across the test pyramid — unit, integration, and end-to-end — and a clear opinion on where each layer earns its keep
• Comfort reasoning about numerical correctness — tolerances, golden masters, and regression of calculated outputs, not just HTTP 200s
• Working knowledge of CI/CD pipelines (Azure DevOps or similar) and a point of view on what belongs in pre-merge vs. nightly vs. release gates
• Awareness of security and compliance considerations in financial software — authorization testing, dependency scanning, and careful handling of sensitive data in test environments
• A habit of measuring quality — escape rate, flake rate, coverage trends — and using those numbers to drive decisions
• Familiarity with Selenium WebDriver, Postman, or equivalent tools (BDD/Gherkin/Cucumber is a plus)
• Genuine curiosity about AI-assisted development tools and a track record (or strong desire) to apply them to QA work
• Excellent communication — you’ll push back on developers, ask hard questions in grooming, and explain quality tradeoffs to business stakeholders
• A quality mindset that goes beyond test execution — you care about where a bug should have been caught, not just that it was caught
• Bachelor’s degree in Computer Science, Mathematics, Business, or related discipline
• Intermediate high level of English

NICE TO HAVE

• Experience modernizing or evolving an existing automated test framework
• Experience with Playwright or modern web E2E tooling (we’re open to evolving past Selenium)
• Experience with contract testing (Pact or similar) for API surfaces shared between clients
• Experience testing calculation engines, pricing engines, or risk models where numerical accuracy is the product
• Familiarity with the business model of a community bank or credit union
• Financial solutions or financial analysis background
• Experience with Claude Code, Copilot, or similar AI development tools applied to testing

RESPONSIBILITIES

• Strengthen and extend our automated regression framework so the team can trust the results on every nightly run — assess the current state, propose a path forward, and execute
• Push testing left: when a nightly regression catches a defect, drive a unit or integration test to catch the same class of problem on the next build
• Build and maintain unit, integration, and end-to-end tests across our stack — Python test framework, C# APIs running in Azure, SQL and MongoDB
• Own the quality of the numbers, not just the code — build golden-master and tolerance-based tests for the financial calculations at the heart of BASIS and AtlasOne, where a basis point of drift in a projection is a defect that needs to be caught
• Own the CI/CD quality gates — decide what blocks a merge, what blocks a release, and how flaky tests get quarantined rather than ignored
• Treat performance as a quality attribute — stand up performance regression coverage for calc-heavy paths so we catch slowdowns the same week they’re introduced, not the quarter a client notices
• Close the loop with production — work alongside the team to monitor Azure alerts, logs, and traces; investigate escaped defects from production support tickets; and feed what you find back into the right test layer
• Develop, document, and execute functional and regression tests across both the established BASIS desktop client and the growing web-based experience that is replacing it; help us continually improve how we automate testing across both applications as the platform evolves
• Use AI tools like Claude Code to expand coverage, generate test scaffolding, and continuously sharpen our QA process
• Help raise the floor on what “tested” means across the team — partner with developers on testable design, review test code in PRs, and share what you learn so quality becomes a shared discipline
• Diagnose application issues using browser dev tools (Chrome, Edge) and database tooling (SQL, MongoDB)
• Manage story and bug tickets from creation through closure
• Collaborate with business analysts and developers to refine requirements before they become defects
• Participate in Agile ceremonies — standups, planning, grooming, retros — but expect those to feel more like working conversations than process for its own sake. We’re a tight-knit team that values people who reach out, ask questions, and enjoy collaborating
• Serve as second-level support for internal user questions and issues

WHAT YOU WILL GET WITH ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Team of professionals
• Dynamic environment with a low level of bureaucracy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role

Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. Our products help security teams detect sophisticated attacks, investigate risk quickly, and automate response at enterprise scale. We’re building a team of strong engineers who are excited to use modern AI development tools to build faster, make better decisions, and ship high-quality software with more leverage.

We’re looking for a Software Engineer II, Backend Engineer based in Singapore to join the CEP (Critical Email Products) in the MSP (Message Security Products) organisation. The CEP team ships the capabilities enterprises need to fully consolidate on Abnormal and remove their legacy email gateway. This is feature parity work with direct business impact, and every capability CEP ships unblocks customers who are ready to move off their SEG but held back by missing functionality. The team currently owns a suite of SEG features that include, but are not limited to, URL Rewriting and Email Digest.

If you enjoy moving fast, owning systems end to end, and working alongside engineers who hold a high bar, this is the team and opportunity for you!

What You’ll Do

• Build and maintain backend services powering CEP’s product surface
• Design and evolve event-driven pipelines (Kafka consumers, Airflow DAGs) that process email traffic reliably at enterprise scale.
• Work across a multi-tenant, multi-cloud deployment footprint (M365 and Google Workspace customers, FedRAMP environments)
• Leverage AI-augmented development tools to explore solutions, refine outputs, and deliver reliable production outcomes faster.
• Collaborate with product and cross-functional partners to iterate quickly on features that move customers from legacy SEGs to Abnormal.
• Contribute to service reliability, observability, and operational quality as the team scales its product surface.

Must Haves

• 2+ years of professional experience in software development.
• Backend development experience with Python or Golang.
• Experience building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, and performance optimization.

Nice to Have

• Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
• Experience with event-driven systems: Kafka, SQS, or similar message queue / stream processing patterns.
• Familiarity with email delivery pipelines, email authentication standards (DMARC, DKIM, SPF), or email security products.
• Exposure to multi-tenant SaaS architectures or enterprise integrations (M365, Google Workspace APIs).
• Experience improving service reliability, observability, and operational tooling in production systems.
• Prior work in cybersecurity, email security, or compliance-adjacent domains.

Ready to be part of AI transformation at Abnormal Security? Apply Now!

Once you apply, you’ll be invited to our AI-Augmented Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2–4 hours of work to be completed within one week — apply when you’re ready!

#LI-FS1

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Remote: Must reside in the Metro DC area

Reports to: Echo

Direct reports: None. Delta’s provide performance feedback on other engineers and participate in company peer mentorship program.

Travel: 0-10%

The Role

As a Mid-Level Forward Deployed Engineer (FDE), you will contribute directly to the development and delivery of Palantir capabilities. You will build analytical dashboard features, support CI/CD pipeline tasks, and work within a structured agile environment alongside senior engineers and government stakeholders. You will operate in two-week sprint cycles, contributing to feature delivery from design through deployment.

At our organization, an FDE takes ownership of their work — building reliable features, writing meaningful code, and ensuring each sprint increment is production-ready.

Key Responsibilities

- Provide embedded engineering support for the Palantir system, working alongside operational users and senior engineers to deliver mission-aligned capabilities

- Perform data integration and ontology engineering tasks, including building and maintaining pipelines, implementing metric definitions, and aligning data transformations to the Foundry Ontology to ensure consistent interpretation across the platform

- Develop workflows, applications, dashboards, and AI-enabled features using Foundry’s Workshop/Slate application layer under guidance from senior engineers

- Participate in intake, triage, and solution framing activities — helping translate user needs and stakeholder requests into well-scoped engineering work

- Contribute to production hardening and transition efforts, including CI/CD pipeline configuration, build scripts, automated tests, and environment promotion workflows to ensure features are deployment-ready

- Support sustainment and iterative improvement operations by resolving defects, delivering incremental enhancements, and maintaining stable operations across deployed capabilities

- Produce clear technical documentation, including configuration notes, runbooks, and sprint artifacts

- Participate in sprint planning, daily standups, sprint reviews, and demonstrations for government stakeholders

- Conduct testing and validation to confirm workflows, dashboards, and AI features function correctly and that data aligns with approved definitions

- Identify integration issues, surface blockers early, and collaborate with senior engineers to resolve them

Preferred Qualifications

- Hands-on experience with Palantir Foundry, including pipelines, Workshop/Slate, and Ontology

- 3+ years of software engineering experience

- Experience with Python, TypeScript, or Java in cloud-based data platforms

- Experience working in government, defense, or classified environments

- Ability to independently build features, test them, and deliver production-ready functionality

- Comfortable working in small, fast-moving technical teams

About PVM & Benefits

At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth. Here are a few highlights of the advantages of being a part of the PVM community:

- Opportunities for growth and advancement

- Tuition/Training reimbursement

- Peer bonus program

- Remote and on-site positions available

- Unlimited PTO

- Flexible work schedule

PVM delivers digital services that help government agencies unlock the power of their data for good and maximize the value of their technology investments. We design, develop, and deploy solutions to solve mission-critical problems. PVM is a black- and service-disabled veteran-owned small business and was founded by a retired Naval officer out of frustration with the status quo with one goal in mind: to help his fellow Shipmates solve the problems they were facing every day. Today, we continue to be driven by that same goal and are focused on taking on our clients’ missions as our own to make a difference in the communities we serve. PVM believes in equal opportunity employment. We won’t discriminate against any employee or applicant based on race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we’re committed to providing an inclusive and welcoming environment for our team, our family members, and our clients.

PVM is an Equal Opportunity Employer and values diversity at all levels of the organization.

Company Description

NBCUniversal is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

About the role

As our Software Engineer, you’ll join the Content Delivery Engineering team (CDE) within NBCUniversal’s Global Video Engineering organization in New York City, USA. Your mission is to get involved with delivering outstanding VOD, live event, and linear streaming experiences to millions of viewers across our US, UK and EU services - including Peacock, SkyShowtime, NOW & WOW.

You’ll collaborate daily with colleagues across the US, UK and beyond – excellent communication skills are essential. Our team specializes in large-scale Multi-Content Delivery Network design and operations, performance telemetry and analytics, selection & interfacing with content origins via multiple workflows - dynamic ad insertion, manifest manipulation and integrating new player technologies.

Responsibilities

• Develop & maintain new and existing software systems & features as a Go and/or Python specialist, with projects primarily aligned to video content delivery at scale.
• Ensure a consistent, diligent approach to peer review of code and configuration change within sensible, maintained repository structures and CI/CD pipelined deployment.
• Author design documents and collaborate with peers and stakeholders through design and code reviews to ensure best practice.
• Working closely with our SRE team to ensure deployed systems are reliable, resilient, scalable, and perform optimally, using common, modern technologies.
• Make best use of our observability systems & advanced analytics to surface issues, drive diagnosis and improvements.
• Effectively handle multiple priorities ensuring timely delivery of high-quality results in a fast-paced, agile environment.

Qualifications

• Bachelor’s degree in computer science, information technology, or a relevant field is required.
• 3+ years of experience in software development, with expertise in Go and/or Python.
• Proficiency with deploying software to cloud infrastructure (AWS, GCP) using containerization technologies (Kubernetes, Docker)
• Skilled with using software repositories, CI/CD pipelines and test automation.
• Experience with Site Reliability Engineering (SRE) practices for ensuring scalability and reliability in cloud environments.
• Familiarity with Agile methodologies, eg scrum and kanban.
• A flair for communicating clearly via design document, text, voice and code to a wide variety of nationalities.
• Knowledge and/or production exposure to using CDNs to deliver streaming media is advantageous or full training can be provided.
• Experience with AI tooling for code creation, reviews, testing and related software development workflows

Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

This position is eligible for company sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $105,000 - $145,000.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].