Python Backend Engineer at Scry Analytics India Pvt Ltd | Findjobs
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Python Backend Engineer
Scry Analytics India Pvt Ltd
Location
🇮🇳 India
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
About Us
SCRY AI is an innovative AI-driven technology company focused on building intelligent, scalable, and high-performance solutions. We work with modern technologies across Software Engineering, AI/ML, and Data to solve real-world business problems and deliver impactful digital products.
Role Overview
We are looking for a skilled Software Engineer - Python Backend with strong experience in building scalable APIs, backend services, and database-driven applications. The ideal candidate should be hands-on with Python, asynchronous programming, SQL, and API development, and comfortable working closely with UI/Frontend teams to deliver reliable end-to-end solutions.
Key Responsibilities
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. Key
Qualifications
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.
Good to Have
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.