Python Backend Engineer
Noida · Mid Level
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Job description
- Design, develop, and maintain scalable, high-performance backend applications using Python.
- Build robust REST APIs and backend services using frameworks such as FastAPI or Flask.
- Develop asynchronous and concurrent applications using asyncio, background workers, queues, and multiprocessing where required.
- Design and optimize database schemas, SQL queries, joins, indexes, stored procedures, and transactions.
- Work extensively with PostgreSQL/MySQL and other relational databases.
- Collaborate with UI/Frontend teams on API contracts, request/response structures, authentication, error handling, and integration.
- Build APIs capable of handling high traffic, concurrent requests, and real-time workloads.
- Optimize API and database performance by identifying slow queries, bottlenecks, inefficient calls, and resource utilization issues.
- Integrate backend services with third-party APIs, external systems, and enterprise applications.
- Implement authentication, authorization, validation, logging, exception handling, and API security.
- Write clean, reusable, maintainable, and well-documented code; develop unit/integration tests and participate in code reviews.
- Containerize applications using Docker and support deployment, troubleshooting, monitoring, scalability, and reliability across environments.
- 3+ years of software engineering experience with strong hands-on experience in Python.
- Strong experience with FastAPI/Flask, REST APIs, asynchronous programming, asyncio, concurrency, background jobs, and message queues.
- Excellent knowledge of SQL and relational databases, particularly PostgreSQL/MySQL, including complex queries, CTEs, joins, aggregations, indexes, and transactions.
- Experience with database schema design, data modeling, query optimization, connection pooling, and performance tuning.
- Understanding of API scalability, caching, high-concurrency systems, and backend performance optimization.
- Experience integrating backend APIs with Frontend/UI applications and third-party systems.
- Good understanding of Git, Docker, Linux, testing, debugging, and CI/CD.
- Experience with Redis, Kafka/RabbitMQ, or similar caching and messaging technologies is a plus.
- Experience with AWS or other cloud platforms is preferred.
- Strong problem-solving, communication, collaboration, and ownership skills, with the ability to work independently in a fast-paced environment.
- Experience with Kubernetes, microservices, cloud-native architectures, and production observability.
- Exposure to event-driven architectures, distributed systems, API gateways, and performance/load testing.
- Experience working with AI/ML or GenAI backend integrations and deploying Python-based AI services is a plus.
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