Java backend engineers with AI skills
On-site
Bengaluru, India
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Java backend engineers with AI skills Skill combinations expected from customer:- Java and Quarkus for backend service development.
- Python for automation, orchestration and AI-enabled solutions.
- React and Node.js for modern web applications.
- Cloud-native engineering using containers, Kubernetes, Infrastructure as Code and automated delivery pipelines.
- API-first development using OpenAPI and contract-driven approaches.
- Event-driven architecture using Kafka or similar technologies.
- Domain-Driven Design, Event Sourcing and CQRS.
- Automated testing, CI/CD and operational excellence.
- AI-enabled software engineering, including RAG, MCP and agent-based workflows.
- Responsible AI practices and appropriate engineering controls.
͏
Java backend engineers with AI skills Skill combinations expected from customer:- Java and Quarkus for backend service development.
- Python for automation, orchestration and AI-enabled solutions.
- React and Node.js for modern web applications.
- Cloud-native engineering using containers, Kubernetes, Infrastructure as Code and automated delivery pipelines.
- API-first development using OpenAPI and contract-driven approaches.
- Event-driven architecture using Kafka or similar technologies.
- Domain-Driven Design, Event Sourcing and CQRS.
- Automated testing, CI/CD and operational excellence.
- AI-enabled software engineering, including RAG, MCP and agent-based workflows.
- Responsible AI practices and appropriate engineering controls.
͏
Java backend engineers with AI skills Skill combinations expected from customer:- Java and Quarkus for backend service development.
- Python for automation, orchestration and AI-enabled solutions.
- React and Node.js for modern web applications.
- Cloud-native engineering using containers, Kubernetes, Infrastructure as Code and automated delivery pipelines.
- API-first development using OpenAPI and contract-driven approaches.
- Event-driven architecture using Kafka or similar technologies.
- Domain-Driven Design, Event Sourcing and CQRS.
- Automated testing, CI/CD and operational excellence.
- AI-enabled software engineering, including RAG, MCP and agent-based workflows.
- Responsible AI practices and appropriate engineering controls.
͏
Java backend engineers with AI skills Skill combinations expected from customer:- Java and Quarkus for backend service development.
- Python for automation, orchestration and AI-enabled solutions.
- React and Node.js for modern web applications.
- Cloud-native engineering using containers, Kubernetes, Infrastructure as Code and automated delivery pipelines.
- API-first development using OpenAPI and contract-driven approaches.
- Event-driven architecture using Kafka or similar technologies.
- Domain-Driven Design, Event Sourcing and CQRS.
- Automated testing, CI/CD and operational excellence.
- AI-enabled software engineering, including RAG, MCP and agent-based workflows.
- Responsible AI practices and appropriate engineering controls.
͏
Java BED - JD
Java backend engineers with AI skills Skill combinations expected from customer:- Java and Quarkus for backend service development.
- Python for automation, orchestration and AI-enabled solutions.
- React and Node.js for modern web applications.
- Cloud-native engineering using containers, Kubernetes, Infrastructure as Code and automated delivery pipelines.
- API-first development using OpenAPI and contract-driven approaches.
- Event-driven architecture using Kafka or similar technologies.
- Domain-Driven Design, Event Sourcing and CQRS.
- Automated testing, CI/CD and operational excellence.
- AI-enabled software engineering, including RAG, MCP and agent-based workflows.
- Responsible AI practices and appropriate engineering controls.
Source: the employer's careers page. Last checked 2026-10-26. Posted 2026-10-10.
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