python developer for an AI education platform

Nebius Academy is a global AI education platform that helps individuals and organizations master artificial intelligence, machine learning, and generative AI. It supports career development and innovation through a global community and promotes the responsible adoption of AI.

• Build and evolve the Internal Developer Platform to help engineering teams move from merge request to production faster and more reliably;
• Own and develop the 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 simplifies and accelerates software delivery;
• 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;
• Identify engineering bottlenecks, gather requirements, and turn them into scalable platform solutions;
• Measure and improve build times, deployment duration, performance, and reliability by fixing root causes;
• Codify engineering conventions through linting, type checks, CI gates, and automation;
• Work hands-on across application code and infrastructure using 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.

• 5+ Years of engineering experience;
• Python experience preferred, with real depth in Java, C#, Kotlin, or Go considered a strong advantage;
• Comfort with Python alongside at least one other backend language;
• Production experience with Kubernetes, Helm, Terraform, Docker, AWS, and CI systems;
• Deep understanding of product development, including how teams plan, ship, maintain, and troubleshoot features;
• Experience building tooling and pipelines that other engineers rely on;
• Performance optimization based on metrics, traces, and query plans;
• Strong architectural judgment and ability to evaluate trade-offs;
• Experience working in a large shared repository;
• Ability to work with a high degree of autonomy, clarify ambiguous requirements, propose solutions, and take ownership through implementation;
• Experience with Agile ways of working and investment in team processes, mentoring, and collective growth;
• Curiosity, willingness to grow beyond the current area of expertise, and readiness to contribute where it creates the most value for the team;
• Fluent Russian;
• English at B2 level or above.

• Competitive compensation: 5000-7000 USD Gross per month;
• Fully remote collaboration;
• Supportive and proactive work environment;
• Modern digital tools for collaboration;
• Results are measured by student success.