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About the role
4+ years recent Java 11+ development, JSON, and SQL development experience 4+ years of recent Spring 4 & 5 including Spring Boot 2, Spring Data, Spring Cloud, Spring Integration and Spring REST API development 2+ 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 IntelliJ 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
NoSql 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 IDEs Ability 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
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