Python Backend Engineer

Location: Noida, India; Gurgaon, India; Pune, India; Hyderabad, India

Department: Scry India

Experience: 3-5

Skills: Docker, Python, FastAPI, RabbitMQ, AWS, Django

• 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.