Python engineer in PaaS services

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• Developing components that form part of PaaS services.
• Designing solutions for multi-tenant environments and large-scale systems.
• Working with the Product Manager to develop solutions that meet business requirements.
• Creating prototypes and proof of concept for new solutions.
• Developing existing code and implementing new components.
• Making technical decisions that take security, scalability, reliability, and maintainability into account.
• Ensuring code quality through code review, automated testing, refactoring, and good engineering practices.
• Diagnosing complex problems involving PaaS services, shared services, and cloud infrastructure.
• Working with other technical teams.
• Creating and developing documentation and standards.

• Very good knowledge of Python. Practical knowledge of at least one framework (FastAPI, Flask, Django).
• Knowledge of REST API design principles: CRUD operations, error handling, data validation, versioning.
• Experience building persistence layers using SQL (PostgreSQL) and NoSQL (Redis) — data modeling, migration management.
• Experience implementing distributed solutions for multi-tenant environments and large-scale systems.
• Knowledge of Kubernetes sufficient to independently deploy, configure, and troubleshoot your own service.
• Confident use of AI-assisted development tools (Claude Code, Copilot) as a regular part of your engineering toolkit.
• Independence and responsibility for a solution — from the idea and design through to a working production system.
• Будет плюсом: Knowledge of Go. Good knowledge of Linux, Kubernetes, and cloud environments; Experience with asynchronous programming (asyncio) and working with queueing systems (RabbitMQ, Kafka); Ability to containerize applications (Docker) and build CI/CD pipelines for services under development; Knowledge of observability topics: structured logging, metrics, distributed tracing; Operational experience with PostgreSQL — performance analysis and query plans; Experience working as a fullstack engineer

• Building a cloud platform: you create a modern ecosystem from the ground up that supports the European space industry, climate research, and scientific projects with real impact.
• An autonomous team: you join a newly formed group that operates like a startup, but within a stable, large organization with access to resources that small companies cannot provide.
• CNCF technologies in production: you work with Kubernetes, KNative, Cilium, ArgoCD, Kubeflow, and other open-source projects, with the opportunity to contribute to them.
• Real impact: you have a voice in architectural and product decisions, and your ideas genuinely shape the platform’s development direction.
• AI-native workflow: we use tools such as Claude Code every day, not as an experiment, but as an integral part of our work.
• Autonomy and stability: we offer plenty of freedom in organizing your work, transparent collaboration rules, and stable forms of employment with attractive compensation.
• You will receive a benefits package — medical care, a multisport membership, and life insurance.
• You will have the opportunity to take language classes.