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 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 - Spanner experience a better plus - NoSql and Casandra experience a plus 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