Python Developer

About the Company :

Datum Technologies Group is the go-to partner for comprehensive technology solutions and staffing services. We are industry veterans with expertise in managed services, technology project delivery, and global workforce solutions, with a proven track record of delivering innovative solutions to help businesses optimize operations, reduce costs, and achieve their digital transformation objectives.

Experience : 9+ years

Location : Chennai / Mumbai / Gurugram

Work Mode : Hybrid

About the Role :

We’re hiring a Python Engineer to build scalable RESTful APIs and backend services for AI-driven projects. You’ll work with FastAPI , Pydantic , Docker , and CI / CD pipelines to deliver secure, high-performance systems. Ideal candidates have strong Python expertise, experience with async programming , MySQL / Redis , and a passion for clean, efficient code.

Responsibilities :

• Design and develop maintainable and structured RESTful APIs and backend services for AI projects using modern Python frameworks, including data models, validation, pagination, error handling, versioning, and OpenAPI / JSON Schema contracts.
• Collaborate with development team members to understand product requirements and translate them into software designs.
• Participate in meetings with project teams and collaborate with stakeholders to answer technical questions and provide technical guidance.
• Follow security, privacy, and compliance guidelines when developing applications like zero-trust, data minimization, retention policies, safe logging, and using secret management tools like Vault.
• Write robust, comprehensive tests using pytest, enforce quality using type hints, mypy, ruff / black, and / or pre-commit, and drive code reviews and documentation.
• Implement concurrency patterns (asyncio, multiprocessing, task queues) for low-latency inference, parallel evaluation, and high-throughput processing.
• Troubleshoot issues, complete bug fixes, optimize for performance and implement new features across various components of the software stack.
• Containerize services with Docker that allows autoscaling and continuous integration and deployment of services.
• Implement and maintain automated processes for data handling and service deployment.
• Document methodologies and follow best practices in software engineering and API development.

Qualifications :