Sr Lead Engineer - II_Java GCP FullStack

Role description

Mandatory:
Java - 12+ years recent Java 11+ development, - 5+ years of recent Spring 4 & 5 including Spring Boot 2, Spring Data, Spring Cloud, Spring Integration and Spring REST API development, Angular - 3+ years of development within an event-driven asynchronous architecture including message broker integration such as Kafka with ability to explain application of relevant design patterns Desired

Skills:

- Good to have experience with GCP & Angular - Postgres SQL experience desired

Job Description:

- Comfortable discussing pros and cons of various middle tier architecture design patterns.

- Experience developing modern solutions for high transaction volume performance - Ability to present value and implement design pattern types for modern software development

- Experience with Agile Scrum and Kanban software development and with Jira - Experience using Intelli

J IDE preferred including debugging, mocking and proper development of unit tests for each layer of a modern enterprise web application - Strong experience with modern testing frameworks including Spring unit and integration testing, isolated layer testing types, Junit5, Hamcrest, and other automated testing best practices - Enterprise experience using Git VCS as well as Gradle and other modern build automation tools - Extensive recent experience designing and building within a modern Micro Service Architecture - Spanner experience a better plus - No

Sql and Casandra experience a plus L4 - L7 (Tech Lead → Architect → Principal)
Proven experience architecting and delivering systems using agentic IDEsAbility to:
• 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 supervising AI agents across:
• Multi service systems
• Legacy modernization
• 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