Lead Backend Java Engineer / AI Solution Architect

Establish a modern software engineering practice built around an AI-driven Development Lifecycle (AI-DLC) methodology - spec-driven, agentic, and powered by Claude. As an AI Solution Architect, you will serve as the technical and delivery authority of an elite pod focused on accelerating feature delivery for an enterprise Java, Spring Boot, and Angular platform hosted on AWS. This is not a research role. It is a hands-on leadership position responsible for defining how AI agents integrate into the software delivery lifecycle and ensuring production-grade quality at every stage.

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.

qualifications:

Must Have Experience:

? 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