[Hiring] Senior Python Developer @Capgemini

Role Description

We are seeking a seasoned Senior Python Developer with 8 to 12 years of hands-on experience building robust, scalable backend services and distributed systems. In this role, you will lead the architecture, design, and implementation of high-performance APIs, data pipelines, and microservices. You will collaborate closely with cross-functional engineering teams in an Agile environment, driving technical excellence from initial design through deployment and observability.

• Architecture & Development: Design, build, and maintain scalable, secure backend services and microservices using Python.
• API Engineering: Architect and implement high-performance RESTful APIs and GraphQL schemas, integrating external third-party services and downstream systems using JSON-based payloads.
• Database Design & Management: Model, optimize, and manage NoSQL databases (primarily MongoDB) as well as relational databases (e.g., PostgreSQL, MSSQL) for query performance and data integrity.
• System Administration & Tooling: Develop, deploy, and debug applications directly in Linux/Unix environments.
• Code Quality & Mentorship: Drive clean architecture, comprehensive unit/integration testing, and code reviews across Git-based workflows.
• Cross-Functional Collaboration: Partner with product managers, QA, and DevOps engineers within an Agile/Scrum framework to deliver sprint commitments predictably.

Qualifications

• 8–12 years of professional software engineering experience primarily using Python.
• Deep practical experience with core Python web frameworks such as FastAPI, Django, or Flask.
• Demonstrated expertise in designing, securing, and documenting RESTful APIs.
• Practical experience implementing and consuming GraphQL APIs.
• Advanced proficiency in handling complex JSON parsing, data serialization, and API integrations.
• Strong hands-on experience with MongoDB (aggregation framework, indexing, schema design).
• Solid working knowledge of relational databases (e.g., PostgreSQL, MySQL) alongside ORM/ODM libraries (e.g., SQLAlchemy, MongoEngine, Beanie).
• Comfortable operating, scripting, and troubleshooting in Linux environments.
• Advanced proficiency with Git workflows (branching strategies, PR reviews, conflict resolution).

Benefits

• Flexible work arrangements to support work-life balance, including remote work and flexible hours.
• Career growth programs and diverse professions to explore a world of opportunities.
• Valuable certifications in the latest technologies such as Generative AI.