Build reusable automation — specs, steering rules, agent skills and hooks, code indexers, test generators, review assistants, prompt libraries — that turns one-off AI interactions into repeatable team processes.
Design agent workflows that are reliable, debuggable, and produce deterministic, testable outcomes using agent frameworks and protocols (tool use, MCP, multi-step reasoning).
Simplify code and infrastructure; prioritize work that measurably lowers maintenance and migration cost.
Work independently on broad, ambiguous problems, exercising judgment and avoiding the need for constant direction.
Help the team set and deliver clear short-, mid-, and long-term goals aligned to the business; treat regulatory and business change as normal.
Build collaborative relationships with partners inside and outside the team; seek out other perspectives and maintain a disagree-and-commit mindset.
Qualifications
Required
Demonstrated daily, hands-on use of AI-assisted development tools in a production environment, with specific examples of workflows you automated and the time saved.
Bachelor's degree in Computer Science, Information Systems, or a related discipline with at least 7 years of related experience, or equivalent training and work experience.
Production experience with Angular and TypeScript on a current release line.
Strong object-oriented development experience in Java and system design experience for distributed services.
Strong hands-on experience building and operating on AWS.
Computer science fundamentals: algorithm design, data structures, complexity analysis, and problem solving.
Angular with TypeScript in strict mode, staying close to current Angular versions.
RxJS for reactive state management and data flow.
JSON Schema authoring (draft-07) and schema-driven UI rendering.
Angular Formly or comparable dynamic form engine.
Micro-frontend architecture (Angular Elements, multi-project workspace).
Complex form behaviors: conditional visibility, cross-section copy, array-based schedules.
Playwright for end-to-end testing; Karma/Jasmine for unit testing.
SCSS, responsive layouts, and accessibility compliance.
Java with Spring Boot (validation engine and data collection services).
Spring Expression Language (SpEL) for assertion-based validation rules.
RESTful API design and microservices architecture.
AWS services: S3, Lambda, SQS, SNS, API Gateway.
Observability and troubleshooting: CloudWatch, CloudTrail, X-Ray.
Infrastructure as