Senior Python Engineer

Godel Technologies Europe is a software engineering company headquartered in Manchester, UK, with over 1.5k employees across Europe and 5 offices in Poland. They deliver agile at scale and build mission critical products for leading UK brands. Their clients include SHELL Energy, the Gym Group, Secret Escapes, ao.com, DealTrak, and theidol.com. The company offers services in software development, artificial intelligence, mobile app development, quality management, platform engineering, data engineering and analytics, UX/UI design, agile software development, product and business analysis, advisory, legacy transformation, and penetration testing.

Must have:

• 6+ years professional Python (post-graduation)
• ≥0.5 years commercial AI tools on projects: agents, MCP integrations, skill crafting, Spec-driven integration, SDLC with agents, or RAG chatbots
• Strong Python 3.9+ engineering: async/await, dataclasses, Pydantic, NumPy, Pandas
• API/integration: REST, GraphQL, third-party systems
• Automated tests: unit, integration, E2E
• Ability to start solo on new project; drive client communication; grow team if needed
• Experience with FastAPI, Django REST Framework or Flask
• Relational DBs (PostgreSQL) and ORMs (SQLAlchemy, Django ORM)
• Architecture: clean architecture, DDD, CQRS, event-driven systems
• CI/CD (GitLab CI, GitHub Actions); containerization (Docker, Docker Compose)
• Personalized AI workflow: custom skills, prompt templates, project-level instructions
• AI coding assistants: Claude Code, Cursor, GitHub Copilot or similar
• Prompt engineering: produce structured, reliable output; evaluate AI-generated code
• Critical evaluation of AI output
• Passion for clean code, peer reviews, high code quality
• Scaling: vertical scaling, single-tenant deployments
• Autonomy; comfortable in open team cultures
• AWS experience (RDS, S3, Kubernetes, SQS, RabbitMQ)
• Ready to work on Windows (WSL)

Nice to have:

• CI/CD
• Content creation
• AIOps

Languages:

• English (advanced)

• Design, development, and maintenance of scalable backends in Python (APIs, data pipelines, async workers)
• Implementation and integration of external systems and APIs
• Writing high-quality, well-tested code (unit, integration, functional)
• Maintaining CI/CD and daily production deployments
• Code reviews, upholding best practices and code quality
• Mentoring juniors and mid-level developers, pair programming, knowledge sharing
• Identifying risks, bottlenecks, and security issues; implementing solutions
• Collaborating with Product Managers and Tech Leads; estimating tasks
• Using AI tools in the development cycle: code generation, refactoring, automated reviews, test creation, debugging