Python Backend Developer

Key Responsibilities

• Collaborate with leads, QA, and product stakeholders on Change Request (CR) delivery.
• Participate in sprint ceremonies, code reviews, and technical design discussions.
• Write clean, tested, well-documented code and contribute to technical documentation.
• Troubleshoot and resolve defects across environments (Dev, QA, UAT, Prod support handoff).
• Design and develop REST APIs using Python and FastAPI.
• Model data and implement persistence using SQLAlchemy against PostgreSQL.
• Author and manage schema changes using Alembic migrations.
• Implement business logic, validation, and error handling.
• Containerize services using Docker and support deployment/orchestration on Kubernetes.
• Support integration testing and deployment/monitoring tasks on Azure.

Must-Have Skills

• 1 3 years of hands-on experience with Python for backend/API development.
• Practical experience with FastAPI (or similar frameworks such as Flask/Django, with willingness/ability to ramp up on FastAPI quickly).
• Strong experience with SQLAlchemy ORM and relational data modeling.
• Experience with Pydantic for data validation and schema definition.
• Experience with PostgreSQL, including writing and optimizing SQL queries.
• Stronger SQL/query optimization skills indexing, query plans, and performance tuning.
• Experience managing schema changes with Alembic (or equivalent migration tooling).
• Experience with Pytest / automated testing practices.
• Hands-on experience with Docker for containerization.
• Working knowledge of Kubernetes for deployment and orchestration.
• Familiarity with Git-based workflows (branching, PRs, code review).

Nice-to-Have Skills

• Experience in warehouse management, logistics, or supply chain domain applications.
• Exposure to microservices, message queues, or event-driven architectures.
• Working knowledge of Azure (App Services, Azure DevOps pipelines, storage, basic networking/security).
• Exposure to OpenTelemetry / Application Insights for observability and monitoring.
• Experience with CI/CD pipelines.
• Exposure to AI-assisted development tools (GitHub Copilot, Claude, ChatGPT) for coding productivity.
• Basic understanding of integrating AI/LLM-powered features into web applications (chatbots, AI-assisted UI, API integration with AI services).

Education

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience).