Job Description
Requirement
- 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
Location: – Denver, CO(Hybrid)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
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