Senior Python Backend Software Engineer

We are seeking an experienced Senior Python Backend Software Engineer to design, develop, and maintain scalable, reliable, and high-performance backend services. The ideal candidate will have strong expertise in Python, FastAPI, REST APIs, microservices, distributed systems, and workflow orchestration., * Design, develop, and maintain scalable backend services using Python and FastAPI.

• Build and integrate enterprise REST/JSON APIs and microservices.
• Implement tool-based orchestration patterns, including MCP-based architectures where applicable.
• Design workflow engines, state machines, and multi-step orchestration for complex business processes.
• Develop asynchronous and concurrent processing solutions for distributed systems.
• Implement robust error handling, retry mechanisms, idempotency, and recovery strategies.
• Use Redis or similar technologies for caching, request deduplication, rate limiting, and state management.
• Optimize backend performance, scalability, reliability, and resource utilization.
• Write comprehensive unit and integration tests using Pytest or similar frameworks.
• Monitor, troubleshoot, and debug distributed applications using logging and monitoring tools.
• Follow engineering best practices, including Git workflows, code reviews, CI/CD, linting, and static analysis.
• Implement secure API authentication and authorization using OAuth2, JWT, and related security practices.
• Collaborate with cross-functional teams to deliver reliable enterprise-grade software solutions.
• Support future AI integrations involving LLM tool-calling capabilities.

The candidate should have hands-on experience building resilient backend architectures, implementing asynchronous processing, optimizing performance, and integrating enterprise systems. Familiarity with Model Context Protocol (MCP), tool-based orchestration, and LLM tool-calling patterns is highly desirable for supporting future AI-driven integrations., * 5+ years of backend software development experience using Python.

• Strong hands-on experience with FastAPI and backend service development.
• Experience with MCP or other tool-based orchestration architectures.
• Strong knowledge of REST APIs, JSON integrations, API orchestration, and microservices.
• Deep understanding of distributed systems, asynchronous programming, and concurrency.
• Experience designing workflow engines, state machines, and multi-step business process orchestration.
• Strong understanding of resiliency patterns, including retries, failure handling, idempotency, and partial-success scenarios.
• Hands-on experience with Redis or similar caching technologies.
• Proficiency in unit testing and integration testing, preferably using Pytest.
• Experience debugging distributed systems and implementing logging and monitoring solutions.
• Familiarity with Git-based development, code reviews, CI/CD pipelines, and code quality tools.
• Working knowledge of secure API design, OAuth2, JWT, authentication, and authorization.
• Basic understanding of LLM integration and tool-calling patterns.
• Experience with AWS cloud services.

Good to Have

• Experience in insurance or financial services.
• Familiarity with enterprise business workflows and complex process orchestration.
• Experience integrating AI-powered services or LLM-based applications into backend systems.