CONSULTANT

Atos SE; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Atos SE in Mumbai invites a Java Spring Boot Developer with 3 to 10 years of experience to design and implement robust backend services for microservices platforms.

You will build REST/GraphQL APIs via Apigee, enable Kafka-based messaging, integrate with React front-ends, and contribute to automated tests and CI/CD while adhering to governance and best practices. Experience with OpenShift or Kubernetes is preferred. Understand security, performance, and scalability concerns.

Qualifications

• 3 to 10 years of hands-on Java backend development experience.
• Strong knowledge of Java 17+, Spring Boot, and Spring MVC.
• Experience with SQL databases and Hibernate/JPA.
• Familiarity with REST/GraphQL APIs and Apigee.
• Experience with Docker and CI/CD pipelines.

Responsibilities

• Develop and deploy Spring Boot microservices in OpenShift/AWS.
• Build and maintain REST/GraphQL APIs managed via Apigee.
• Implement Kafka producers and consumers for event-driven workflows.
• Collaborate with React teams to ensure seamless data flow.
• Write unit and integration tests and participate in CI/CD.

Skills

Java

Spring Boot

Spring MVC

SQL

PostgreSQL

Hibernate/JPA

Kafka

OpenShift/AWS

REST/GraphQL APIs

Git

Docker

CI/CD

Apigee

Tools

Git

Docker

CI/CD

OpenShift

AWS

Apigee

Job description

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• Java Springboot Developer with 3 to 10 years experience.
• Key Responsibilities:----
• Microservices: Develop and deploy Spring Boot services within an OpenShift/AWS environment.
• API Development: Build and maintain REST/GraphQL APIs managed via Apigee.
• Messaging: Implement event-driven logic using Kafka producers and consumers.
• Integration: Collaborate with React frontend teams to ensure seamless API consumption and data flow.
• Quality: Write robust unit/integration tests and participate in automated CI/CD pipelines.
• Required Skills:--
• Core: Java 17+, Spring Boot, and Spring MVC.
• Data: SQL proficiency (PostgreSQL preferred) and Hibernate/JPA.
• Messaging: Basic Kafka (topics, producer/consumer configuration).
• DevOps: Git, Docker fundamentals, and CI/CD awareness.
• Demonstrated use of AI-assisted dev tools (e.g., GitHub Copilot, Claude Code assist) and governance (prompt patterns, privacy, code provenance) in daily workflows and clear understanding of limitations/guardrails.