Senior Python Engineer

Quick Facts

Senior Python Engineer to build core managed services in a Kubernetes-based PaaS platform.

Description

You will develop key services of a managed cloud platform (PaaS), such as DBaaS, RaaS (Registry as a Service), and MLOpsaaS. The role follows full ownership (you build it and you own it) from Kubernetes integrations to APIs and documentation, with end-to-end responsibility for your product area.

Responsibilities

• Develop components that make up PaaS services
• Design solutions for multi-tenant environments and systems operating at large scale
• Collaborate with Product Manager to translate business requirements into solutions
• Create prototypes and proofs of concept for new solutions
• Extend existing code and implement new components
• Make architecture decisions considering security, scalability, reliability, and maintainability
• Ensure code quality via code reviews, automated tests, refactoring, and engineering best practices
• Diagnose complex issues across PaaS services, shared services, and cloud infrastructure
• Work with other technical teams
• Create and evolve documentation and standards

Requirements

• Very strong Python knowledge
• Practical experience with at least one framework: FastAPI, Flask, or Django
• Knowledge of REST API design principles: CRUD, error handling, data validation, API versioning
• Experience implementing persistence layers using SQL (PostgreSQL) and NoSQL (Redis), including data modeling and migration management
• Experience implementing distributed solutions for multi-tenant environments and large-scale systems
• Kubernetes knowledge at a level enabling independent deployment, configuration, and troubleshooting of your own service
• Ability to use AI-assisted development tools (Claude Code, Copilot) as a regular part of engineering workflow
• Independence and responsibility for the solution end-to-end, from idea/design to a working production system

Benefits

• Build a cloud platform ecosystem from scratch that supports European space industry, climate research, and meaningful scientific projects
• Join an autonomous, startup-like team within a stable large organization with strong resources
• Work with CNCF technologies in production: Kubernetes, KNative, Cilium, ArgoCD, Kubeflow and other open-source projects (with ability to contribute)
• Real impact on architectural and product decisions
• AI-native workflow using tools like Claude Code as an integral part of daily work
• Autonomy and stable operating principles with attractive compensation
• Social benefits: medical care, Multisport, life insurance
• Opportunity to attend language classes