Nebius Academy is a global AI education platform dedicated to empowering individuals and organizations to master artificial intelligence, machine learning, and generative AI.
Nebius Academy combines deep technical expertise with a vision for AI-powered education, supporting both individuals aiming to upskill for new career paths and companies pursuing innovation at scale. Through a vibrant global community, Nebius Academy bridges the skills gap and accelerates the responsible adoption of AI, ensuring that both professionals and organizations are equipped to lead in an era of constant technological change.
What you'll do
Build and evolve our Internal Developer Platform, helping engineering teams move from merge request to production faster and more reliably.
Own and develop our monorepo, keeping applications, shared libraries, and infrastructure coherent as the codebase and engineering organization grow.
Build and improve CI/CD pipelines, including incremental builds, automated deployments, and tooling that makes shipping software simpler and faster.
Automate the creation and setup of new services, including infrastructure, Helm charts, alerts, dashboards, and deployment pipelines.
Build internal tools and automations that improve developer experience and engineering productivity across product teams.
Treat engineers as your users: identify what slows them down, gather requirements, and turn those problems into scalable platform solutions.
Measure and improve build times, deployment duration, performance, and reliability, fixing root causes rather than symptoms.
Codify engineering conventions through linting, type checks, CI gates, and automation instead of relying on manual processes.
Work hands-on across application code and infrastructure, using technologies such as Python, Go, AWS, Kubernetes, Helm, Terraform, GitLab CI, ArgoCD, Postgres, Kafka, and Grafana.
Work closely with SRE, QA, and product engineering teams on reliability, observability, performance, and quality.
Make pragmatic architectural decisions and evaluate trade-offs around scalability, maintainability, developer experience, and delivery speed.
Requirements
5+ years of engineering experience. Python preferred; real depth in Java, C#, Kotlin or Go is a heavy plus. Ideally, you are comfortable with Python alongside at least one other backend language.
Understanding and production experience with Kubernetes, Helm, Terraform, Docker, AWS and CI systems.
Deep understanding of product development — how teams plan, ship, maintain, and troubleshoot features.
A track record of building tooling and pipelines other engineers rely on, and real care for developer experience.
Performance work grounded in measurement — metrics, traces and query plans rather than intuition.
Architectural judgement in trade-offs rather than rules, avoiding both early overengineering and painted-in corners.
Comfort in a large shared repository, and clarity about its trade-offs.
Ability to work with a high degree of autonomy — clarify ambiguous requirements, identify what needs to be done, propose solutions, and take ownership through implementation rather than relying on detailed task specifications.
Agile ways of working, and real investment in team processes, mentoring, and collective growth.
A strong learning and team mindset: curiosity, willingness to grow beyond your current area of expertise, and readiness to contribute where it creates the most value for the team.
Fluent Russian, and English at B2 level or above.
What we can offer you
A supportive and proactive work environment.
Competitive compensation: 5000-7000 USD Gross per month