Capgemini - Senior Python Developer - Flask/Django

Role Overview :

We are seeking a seasoned Senior Python Developer with 6 - 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.

Key Responsibilities :

• 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.

Required Technical Skills :

• Experience : 6 - 12 years of professional software engineering experience primarily using Python.
• Framework Expertise : Deep practical experience with core Python web frameworks such as FastAPI, Django, or Flask.
• API Technologies : Expertise in RESTful APIs, GraphQL, and complex JSON data serialization.
• Databases : Strong hands-on experience with MongoDB (aggregation, indexing) and relational databases (PostgreSQL, MySQL) with ORM/ODM libraries.
• Environment &
• Version Control : Proficiency in Linux environments and Git workflows.
• Process &
• Delivery : Well-versed in Agile/Scrum methodologies and test-driven development.

Good-to-Have Skills :

• Containerization &
• Orchestration : Docker, Kubernetes, or Red Hat OpenShift.
• CI/CD : Experience with Jenkins or similar platforms.
• Infrastructure as Code (IaC) : Ansible or Terraform.
• Observability &
• Telemetry : Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.

Preferred Soft Skills :

• Strong technical communication skills and mentorship abilities.
• Pragmatic problem-solver comfortable owning features end-to-end.