Python Middle Enginner

Obriy is seeking a Middle Python Engineer to build and ship backend features for the Obriy AI/SURE platform. This role focuses on designing and maintaining scalable APIs, services, and workflow components that power automation, integrations, and knowledge modules in a remote environment.

• Build and ship backend features for Obriy AI/SURE platform - APIs, services, and workflow components
• Design, implement, and maintain clean, well-documented REST APIs with strong validation and error handling
• Integrate with external systems (CRMs, support tools, messaging channels) using stable adapters and safe failure handling
• Implement background processing and asynchronous workflows for long-running tasks and integrations
• Maintain and improve data models, persistence, schema changes, migrations, and query performance
• Improve reliability and observability through structured logging, metrics, tracing, and alerts
• Troubleshoot production issues and perform root cause analysis with minimal regression risk
• Write and maintain automated tests and support QA with clear test scenarios
• Participate in code reviews and contribute to backend best practices and documentation
• Collaborate with Frontend, DevOps, and Product teams to refine requirements and deliver iteratively

Required:

• Minimum 3+ years of hands-on Python backend development experience in production environments
• Strong Python fundamentals including clean code practices, typing discipline, debugging, and performance awareness
• Experience building web APIs with FastAPI and designing maintainable endpoints
• Strong understanding of API patterns: authentication/authorization, input validation, pagination, versioning, error contracts
• Solid database experience with PostgreSQL - schema design, migrations, indexing, query optimization, transactions
• Experience with asynchronous/background processing and handling retries
• Experience writing tests with pytest: unit and integration tests, mocking, test data strategy
• Familiarity with production-grade practices: logging, monitoring, configuration management, secure secrets handling
• Ability to detect, analyze, and resolve issues in production systems and perform root-cause analysis
• Ability to work independently in a remote setup with proactive, clear communication

Preferred:

• Experience with LLM/GenAI integrations and prompt orchestration
• Familiarity with RAG pipelines and vector databases
• Experience designing integration connectors
• Knowledge of event-driven architecture and distributed systems
• Experience with Docker and Kubernetes deployments
• Familiarity with security best practices and RBAC modeling
• Experience with performance tuning and caching strategies
• B2B SaaS/enterprise environment experience

Remote position with flexible working arrangement. Team collaboration with Frontend, DevOps, and Product teams.