Tech Lead - 1, Software Engineering (python)

Job Summary

We are looking for a hands-on Tech Lead Backend to lead the design, development, delivery and production ownership of scalable backend services and APIs.

The ideal candidate should have strong expertise in Python, FastAPI, PostgreSQL, SQL, Microservices and AWS Serverless technologies, along with experience in technical leadership and mentoring engineers.

Key Responsibilities

• Lead technical design and architecture of scalable backend services, REST APIs and event-driven microservices.
• Design and review API contracts, database models, integrations and system architecture.
• Develop and enhance backend services using Python and FastAPI.
• Review code, technical designs and database changes for quality, security, performance and maintainability.
• Design and optimize PostgreSQL/SQL schemas, queries, indexes and transactions.
• Build and operate microservices and distributed systems in production.
• Work with AWS Lambda, S3 and SQS for serverless and asynchronous processing.
• Own backend services end-to-end, including deployment, monitoring, incident response and reliability.
• Troubleshoot complex production issues and drive root-cause resolution.
• Mentor backend engineers through code reviews, design discussions, pairing and feedback.
• Collaborate with Product, QA, DevOps, Data and Frontend teams to deliver scalable solutions.

Mandatory Skills

• Strong hands-on experience with Python
• FastAPI / REST API development
• Strong SQL and PostgreSQL
• Microservices & Distributed Systems
• AWS Lambda, S3 and SQS
• API design and asynchronous programming
• Production troubleshooting and service ownership
• Code/design review experience
• Strong mentoring and technical leadership skills
• Git, CI/CD, testing, logging, monitoring and observability

Preferred Qualifications

• B.Tech/BE/M.Tech in Computer Science, Software Engineering or related field.
• Experience as a Senior Engineer, Module Lead or Tech Lead.
• Experience mentoring junior/mid-level engineers.
• Experience with high-scale or latency-sensitive backend systems.
• Exposure to infrastructure as code, containerized deployments and serverless architecture.
• Knowledge of security, performance optimization and reliability engineering.