Tech Lead - Software Engineer

Design, develop, and maintain scalable backend applications and microservices using Core Python, following object oriented programming principles, clean code practices, and enterprise software development standards.

1. Develop high performance RESTful APIs using FastAPI, implementing Pydantic models, request validation, exception handling, HTTP status codes, and asynchronous processing.
2. Demonstrate strong expertise in Python fundamentals, including decorators, generators, iterators, context managers, exception handling, comprehensions, collections, and memory management.
3. Implement efficient algorithms using data structures and problem solving techniques, including dictionaries, sets, lists, hash maps, sliding window algorithms, string manipulation, and time/space complexity optimization.
4. Design reliable backend workflows for network provisioning, configuration management, and cloud infrastructure automation, integrating with enterprise networking platforms and external services.
5. Develop robust transaction and error recovery mechanisms, including retry logic, timeout handling, idempotency, rollback strategies, compensation workflows, and failure recovery across distributed systems.
6. Integrate Python applications with relational databases, Snowflake, metadata repositories, and messaging systems, ensuring data consistency, transaction integrity, and efficient database operations.
7. Build scalable, event driven services using Kafka or similar messaging platforms, implementing correlation IDs, structured logging, event publishing, and distributed workflow monitoring.
8. Develop comprehensive unit tests, integration tests, and API automation tests using Pytest, including mocking, dependency injection, edge case validation, and code coverage improvements.
9. Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions, with Git, Docker, automated testing, code quality checks, and deployment automation. Collaborate with engineering teams to troubleshoot production issues, optimize performance, and deliver reliable enterprise backend services. Required Technical Skills Programming: Python 3.x, Core Python, OOP, DSA, Multithreading, Multiprocessing, AsyncIO Backend Frameworks: FastAPI, REST APIs, Pydantic, Microservices Databases: SQL, PostgreSQL, Snowflake Distributed Systems: Kafka, Event Driven Architecture, Retry Mechanisms, Idempotency, Fault Tolerance DevOps: Git, Jenkins, GitHub Actions, Docker, CI/CD Testing: Pytest, Unit Testing, Integration Testing, Mocking Domain: Enterprise Networking, Cloud Infrastructure, Network Automation, Backend Platform Engineering

Software Engineering, Technical Leadership, Python Programming/Scripting Language, Enterprise Applications, Software Development, Microservices, Object Oriented Programming (OOP), Software Administration, Scalable System Development, Application Programming Interface (API)