API developer with Python & cloud

Capgemini; New Delhi, Pune District, Bengaluru; Hybrid; INR 1,400,000 - 2,800,000; Full time

Job summary

Capgemini is seeking an API Developer (Python & Cloud Services) in Delhi to design, build, and secure scalable APIs and microservices for enterprise apps and AI-enabled solutions. You will collaborate with product, data engineering, cloud, and DevOps teams to deliver high-performance services in modern cloud environments.

The role requires expertise in Python, API frameworks, cloud platforms, containerization, and API security, with a focus on reliability, observability, and CI/CD automation.

Qualifications

• 5–10 years of software development experience.
• Strong Python proficiency.
• Experience with REST APIs and API frameworks.
• Knowledge of OAuth2, JWT, API Keys and RBAC.
• Experience with CI/CD and cloud deployments.

Responsibilities

• Design, develop, test, and deploy RESTful APIs and microservices using Python.
• Build scalable backend services for enterprise applications and data platforms.
• Develop APIs to integrate with cloud services, databases, SaaS, and third-party systems.
• Create reusable, well-documented APIs following industry standards.
• Implement authentication, authorization, API security, and governance.
• Optimize API performance, reliability, scalability, and monitoring.
• Collaborate with DevOps to enable CI/CD and cloud deployments.
• Develop logging, monitoring, and observability for production environments.
• Troubleshoot performance, integration, and production issues.
• Participate in architecture discussions and technical design decisions.

Skills

Python programming

REST APIs

API design

OpenAPI/Swagger

JSON

API security

CI/CD

Git workflows

Tools

FastAPI

Flask

Django REST Framework

Docker

Git

Azure

AWS

GCP

PostgreSQL

MongoDB

Job description

Role & responsibilities

API Developer (Python & Cloud Services)

Experience: 5-10 Years

Role Overview

We are seeking an experienced API Developer with strong expertise in Python and cloud-native application development. The ideal candidate will be responsible for designing, developing, securing, and maintaining scalable APIs and microservices that power enterprise applications, data platforms, and AI-enabled solutions.

The role requires close collaboration with product, data engineering, cloud, and DevOps teams to build high-performance, reliable, and secure services in modern cloud environments.

Key Responsibilities

• Design, develop, test, and deploy RESTful APIs and microservices using Python.
• Build scalable backend services for enterprise applications, integrations, and data-driven solutions.
• Develop APIs to integrate with cloud services, databases, SaaS platforms, and third-party systems.
• Create reusable and well-documented APIs following industry standards and best practices.
• Implement authentication, authorization, API security, and governance standards.
• Optimize API performance, reliability, scalability, and monitoring.
• Collaborate with DevOps teams to enable CI/CD automation and cloud deployments.
• Develop logging, monitoring, and observability capabilities for production environments.
• Troubleshoot and resolve performance, integration, and production issues.
• Participate in architecture discussions and contribute to technical design decisions.

Required Skills

• 5-10 years of software development experience.
• Strong programming expertise in Python.
• Hands-on experience with API frameworks such as:
  • FastAPI
  • Flask
  • Django REST Framework
• Strong understanding of:
  • REST APIs
  • API design principles
  • JSON
  • OpenAPI / Swagger
• Experience with relational and/or NoSQL databases:
  • PostgreSQL
  • SQL Server
  • MySQL
  • MongoDB
• Experience with at least one cloud platform:
  • Microsoft Azure
  • AWS
  • Google Cloud Platform
• Familiarity with containerization technologies such as Docker.
• Experience with Git-based development workflows.
• Knowledge of API security including OAuth2, JWT, API Keys, and role-based access controls.
• Understanding of CI/CD practices and automation pipelines.

Preferred candidate profile

• Experience with Kubernetes and container orchestration.
• Experience developing APIs for AI/ML or GenAI applications.
• Familiarity with message queues and event-driven architectures:
  • Kafka
  • RabbitMQ
  • Azure Service Bus
• Experience with API gateways:
  • Azure API Management
  • AWS API Gateway
  • Kong
  • Apigee
• Exposure to Infrastructure as Code tools such as Terraform or Bicep.

Experience with monitoring tools such as Azure Monitor, Application Insights, Grafana, or Prometheus.

Perks and benefits