Sr Lead Engineer - I_Java Microservices

Role description

4+ years recent Java 11+ development, JSON, and SQL development experience4+ years of recent Spring 4 & 5 including Spring Boot 2, Spring Data, Spring Cloud, Spring Integration and Spring REST API development2+ 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

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 Oracle experience a plus Spanner experience a better plus

No

Sql and Casandra experience a plus Angular and React experience a plus Mandatory GCP (if not GCP atleast some cloud technology like AWS)
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