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Python Backend Engineer

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Onsite

Python Backend Engineer

Scry Analytics India Pvt Ltd

Python Backend Engineer

Skills

SQL QueriesDockerFlaskPythonMicroservicesPostgreSQLMySQLKafkaRedisRabbitMQMachine LearningAIAWSLinuxKubernetesFastAPI

19 days ago

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Important information


Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


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.

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