Sr Python Engineer

We're looking for a Senior Python Engineer to become the technical owner of the backend platform: you decide how it is built.

The MVP is live and it proved the product works. Now it has to become a platform that holds under load, over unreliable networks, on a 24/7 production system - which means new services designed properly, an engineering standard that does not exist yet (Spec-Driven Development, AI-powered pipelines, CI/CD, review), and the old shortcuts retired along the way.

What you'll do

• Take full ownership of the backend: Django, DRF, FastAPI services, Celery, PostgreSQL, TimescaleDB, Redis, and the OPC UA components
• Audit the existing MVP end to end and define the refactoring strategy.
• Design reliable failover for site connectivity so telemetry and commands keep working over unstable networks
• Balance fast product validation against long-term platform stability, and re-prioritize when the business shifts
• Build AI-powered engineering workflows (agentic pipelines) and make Spec-Driven Development the standard
• Work with cybersecurity specialists on IEC 62443 and translate its requirements into platform architecture
• Set the engineering standards: code quality, reviews, CI/CD, testing, API stability

Must have

• 6+ years of commercial Python, with strong production experience across: Django and DRF, FastAPI (Pydantic v2), Celery, PostgreSQL, Redis, Docker / Docker Compose, pytest and CI/CD
• System design, hands-on: you have defined service boundaries, API contracts, data flows and scalable architectures for production - and can walk through decisions you made and what they cost
• Authorization models by design: RBAC, least privilege, Django/DRF permission systems, object-level permissions, and consistent enforcement across distributed services
• Resilient third-party integrations: retries with exponential backoff, rate-limit handling, Redis caching and invalidation strategies, graceful degradation when an upstream service goes down
• OPC UA - working knowledge: client/server model, namespaces, subscriptions, security modes
• AI-driven engineering: contract-first / Spec-Driven Development (OpenAPI/Swagger, Pydantic, gRPC), plus experience building or using agentic pipelines - CrewAI, LangGraph, or your own orchestration - to automate code generation, tests, documentation, review or integration validation
• English B2+

Nice to have

• Modbus TCP/RTU or other industrial protocols
• IEC 62443 / OT security
• TimescaleDB, InfluxDB or ClickHouse; MongoDB
• Redis beyond simple caching
• Observability: Sentry, Flower, structured logging
• Refactoring legacy production systems without downtime