Site Reliability Engineer - AI Platform
Contribute to the design and development of platform components that enable machine learning and generative AI use cases across the company Take ownership of reliable deployment, maintenance, monitoring, and incident response for our services Write high-quality, maintainable code and help ensure our platform solutions are well-documented and testable Work alongside more senior engineers to evolve our infrastructure and build secure, compliant and scalable solutions across cloud, networking, observability and CI/CD domains Collaborate with ML Engineers, SREs, and other Platform teams to ensure operability and maintainability of AI capabilities offered across the company
Participate in code reviews, RFCs, documentation and product discovery, contributing to the team's design and decision-making processes Identify technical or knowledge gaps and proactively work to address them, either independently or with the team Help improve our engineering practices and team ways of working
What you need to be successful Background and skills: Proven experience specifically in infrastructure and reliability engineering, including deployment automation, monitoring, incident management, and performance tuning Solid programming skills, ideally in Python, Go or TypeScript, and experience writing production-grade code Familiarity with cloud-native development and AWS infrastructure, including some experience with services like SageMaker, Bedrock, or other AI/ML-related services Experience with Kubernetes, CI/CD pipelines (e.g. ArgoCD, GitHub Actions), Infrastructure-as-Code tools (e.g. Terraform), and containerization (Docker) Working knowledge of networking, security and compliance best practices in production environments Appreciation for good documentation, testing and observability Nice to have: Exposure to MLOps practices or working with Data Science/Machine Learning teams Familiarity with prompt-based or LLM-driven GenAI workflows Interest or prior experience in building developer-facing platforms and reusable abstractions Traits: You take pride in writing clean, reliable, and well-tested code You're a proactive team player who communicates openly and supports others Comfortable working in a cross-functional environment, with a focus on practical impact Eager to learn from others and also share your knowledge with newer team members Excited by the opportunity to work on cutting-edge AI platform capabilities while developing your expertise across a mix of SRE, ML, and platform domains We're looking for someone who wants to grow their career in the AI infrastructure space, bringing battle-tested SRE practices to a cross-functional team while also learning from experienced engineers in Machine Learning, Backend, and Platform Engineering. You'll have the chance to contribute meaningfully to the evolution of the AI platform that's at the heart of the company's highest value bets, helping to build a foundation for reliable, scalable and democratized access to Machine Learning and GenAI capabilities across N26. If you're motivated by ownership, curious about AI and infrastructure, and energized by working in a high-impact, collaborative team: we'd love to hear from you!
Accelerate your career growth by joining one of Europe's most talked about disruptors . Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Vacation days vary depending on your location of work. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. A relocation package with visa support for those who need it. N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.
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