Middle Python Engineer

We’re hiring a Python backend engineer to build and evolve a backend that supports product automation, third-party integrations, and scalable workflows. You’ll own API development, data reliability, async processing, and production stability in a remote-first team.

Must-have skills

• 3+ years building Python backend services used in real production systems
• Strong Python foundations: readable maintainable code, debugging skills, and performance awareness (incl. typing where applicable)
• Hands-on experience building web APIs with a modern framework (e.g., FastAPI) and structuring clean, maintainable endpoints
• Solid grasp of common API standards: auth basics, validation, pagination, versioning, and consistent error responses
• Strong database background (PostgreSQL preferred): schema design, migrations, indexing, query tuning, and transaction fundamentals
• Experience with async/background execution (workers, scheduled jobs) and safe retry strategies
• Testing practice with pytest (or similar): unit + integration tests, mocks, fixtures/test data approach
• Familiarity with production practices: logging, basic monitoring, config management, and secure secrets handling
• Ability to investigate and fix production issues, including root-cause analysis
• Comfortable working independently in a remote setup with proactive, clear communication

What you’ll do

• Deliver backend functionality that powers product workflows, APIs, internal services, and automation components
• Build and maintain well-structured REST APIs and internal interfaces with strong validation, documentation, and robust error handling
• Connect to external tools (e.g., CRM/support/messaging systems) via reliable adapters with retries and safe failure behavior
• Implement asynchronous workflows for long-running tasks using queues/schedulers and resilient execution patterns
• Evolve data models and persistence: schema updates, migrations, performance improvements, and consistency guarantees
• Strengthen reliability and observability: structured logs, metrics/tracing, alerts, and practical runbooks
• Debug incidents in production, perform RCA, and ship fixes with low regression risk
• Maintain automated tests and support QA with clear scenarios and reproducible steps
• Participate in code reviews, help set backend engineering standards, and keep documentation current

Nice to have

• Experience integrating LLM/GenAI services (OpenAI-compatible APIs), prompt/tool orchestration, and safety guardrails
• Exposure to RAG concepts (embeddings/vector search, chunking, retrieval evaluation)
• Experience designing reusable integration connectors
• Familiarity with event-driven patterns and messaging systems (Kafka/RabbitMQ/NATS)
• Docker/Kubernetes experience (runtime constraints, deployments, observability)
• Performance optimization experience: profiling, caching (Redis), and async I/O tuning
• Background in B2B SaaS / enterprise systems where reliability/compliance expectations are higher