Description

• Own the Architecture: Define and enforce architectural standards for Java/Spring Boot services, Angular front-end patterns, and AWS hosting that Claude must respect when generating code.
• Lead Agentic Delivery Governance: Establish human-in-the-loop checkpoints, merge gate criteria, and code review standards for AI-generated output entering the main branch.
• Design the Spec Framework: Collaborate with the AI Solution Owner to ensure feature specifications are structured for maximum Claude effectiveness, covering domain models, API contracts, and acceptance criteria.
• Drive Technical Delivery: Carry final accountability for architectural trade-off decisions, quality gates, and technical risk escalation.
• Mentor the Pod: Set the bar for engineering excellence across AI Full Stack Engineers in code quality, security practices, test coverage, and agentic workflow discipline.
• AWS Platform Stewardship: Own cloud architecture decisions including compute, networking, IAM, CI/CD pipeline design, and SAST/DAST integration for AI-generated code

What You Will Bring

• Java & Spring Boot Mastery: 7+ years of production Java experience with deep knowledge of Spring Security, Spring Data, transaction management, and domain-driven design.
• Angular Expertise: Proven ability to architect and review Angular applications including component patterns, RxJS, NgRx/state management, and module structure.
• AWS Cloud Architecture: Professional experience designing and operating production systems on AWS including CDK, Lambda, DynamoDB, ECS, RDS, API Gateway, CloudWatch, X-Ray, and IAM.
• Agentic AI Delivery Experience: Hands-on experience using Claude Code, GitHub Copilot, or equivalent AI coding agents in a production software delivery context.
• CI/CD & DevSecOps: Experience designing pipelines with security scanning (SAST/DAST), deployment strategies, test and quality automation gates, and high-frequency deployment cadences.
• Technical Leadership: Demonstrated ability to lead engineering teams, conduct rigorous code reviews, and set and enforce quality standards.

Nice to Have Experience:

• Experience pioneering AI-assisted delivery practices in an enterprise or consultancy context.
• Familiarity with prompt engineering principles and context window management for code generation.
• Background in regulated industries (financial services, healthcare, public sector) where AI governance is non-trivial.
• Exposure to spec-driven development methodologies such as BDD, Gherkin, or structured markdown specs

Key Skills

Education

Bachelor's degree