Job Summary

As a Lead Engineer - Java GCP, you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards.

Responsibilities

- Should have experience in writing consuming REST API
- Experience in Design patterns microservices
- Experience with Kafka streaming
- Experience in multithreading and data structures
- Experience working on Docker containers
- Experience using GIT Junit Maven Jenkins Sonar
- Agile product development experience is required
- Good understanding of Google Cloud Platform and project experience of deployment to cloud
- Excellent team player with strong communication inter-personal presentation skills
- Positive to have understanding of US HC especially on Clinical systems will be an added advantage
- Gather complete understanding of the requirements and task out Epics/user stories planned in a Release/Sprint.
- Understand the current and proposed design, and prepare HLD and LLD for Epics considering the dependencies.
- Follow best coding practices adherence to the code coverage metrics.
- Write enough JUnits and test the developed pieces of code.
- Demonstrate developed piece of code.
- Collaborate with different teams like Client Architecture, Data Modeling team, and more.
- Designed, implemented, and deployed scalable systems leveraging agentic IDEs and AI-assisted development workflows.

Experience

- 5 - 7 Years

Location

- Mumbai
- Pune
- Chennai

Educational Qualifications

- Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.




- Technical certification in multiple technologies is desirable.

Skills

Mandatory Technical Skills

- Java 8+, Microservices Architecture
- REST-based API design
- Google Cloud Platform (GCP)
- Spring Data JPA, SQL Databases, Spring, Sprint Boot

Good to Have Skills

- Experience in Jenkins
- Experience working in Agile projects
- Define architectural intent that agents can follow
- Break features into agent executable tasks
- Govern AI autonomy (guardrails, permissions, reviews)
- Integrate agentic workflows into CI/CD pipelines
- Experience in supervising AI agents across Multi service systems, Legacy modernization, and Large codebases/monorepos
- Strong understanding of Security implications of autonomous code execution Compliance, auditability, and traceability
- AI assisted SDLC operating models Core Responsibility:
- Guide effective use of agentic IDEs for complex, multi-module or cross-service changes
- Establish review practices and quality checks for AI-generated code
- Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development
- Design system architectures that support AI-augmented and agentic development workflows
- Define guardrails, standards, and governance for the use of autonomous coding agents
- Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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