Lead Engineer - I_Java

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
• Good 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

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