Job Summary

The engineering team within Technical Services builds and maintains platforms, APIs, and tooling that support customer delivery and internal operations. The team focuses on reliable, scalable full-stack applications, automation, and high-quality software delivery.

We are looking for senior full-stack engineers who build and ship with AI coding agents as their primary way of working: designing the system, directing agents through it, reviewing what they produce, and owning the result in production. In this role, you will set the bar for how the team engineers with AI, not just meet it.

Your Impact

- Own production features end to end across the API, data layer, front end, and infrastructure of Technical Services platforms and tooling that support customer delivery.
- Lead technical design for significant features: model the domain, set boundaries and contracts, and drive the work from design through production.
- Use Claude Code and other coding agents as daily engineering tools for planning, implementation, test generation, and refactoring, while remaining accountable for every line that merges.
- Author and maintain advanced agent workflows and reusable agent skills that make the whole team faster, not just yourself.
- Run agent-assisted code review as part of the merge path, review other engineers work, and recognize when an agent’s confident answer is wrong.
- Build and harden GitLab CI pipelines, including quality gates, coverage enforcement, supply-chain controls, and automated deployment to Google Cloud.
- Take features to production on GKE, including observability, rollout, and incident follow-through.
- Validate application and platform changes in development, test,



and production-like environments before releasing them to the engineers and customers who rely on them.
- Mentor engineers on agent-driven development practices and establish the engineering standards the team builds to.
- Contribute to wider Technical Services automation as priorities shift.

Required Skills

- Hands-on experience with at least one AI-powered coding assistant or agent, such as GitHub Copilot, OpenAI Codex, Claude Code, Cursor, or a comparable tool.
- Strong practical experience with React and Vite, including building, maintaining, and debugging modern front-end applications.
- Strong experience developing React applications with Vite, including reusable components, state management, routing, and front-end testing.
- Experience designing, developing, and consuming REST APIs and implementing backend services, business logic, validation, and error handling.
- Working knowledge of databases, data modeling, authentication/authorization, automated testing, and application performance.

Qualifications

- 5–7 years of professional software development experience preferred, with a track record of shipping full-stack software to production on real-world projects.
- Experience leading technical design and delivery of production systems, including owning outcomes after launch.




- Hands-on experience building LLM-backed features and tool-use agents—designing tools, wiring the agent loop, and evaluating results.
- Has followed generative AI closely since it entered the mainstream in 2022 and has put successive waves of models and coding agents into practice.
- Demonstrated proficiency with Claude Code or comparable AI coding agents, including multi-step workflows, custom skills or tooling, and agent-driven code review.
- Proficiency in TypeScript, JavaScript, and Python; experience with the Bun runtime is strongly preferred.
- Production experience on Google Cloud, including GKE, Cloud SQL, IAM, and related services.
- Experience designing and operating GitLab CI pipelines.
- Experience building and integrating REST APIs, working with backend services and databases, and applying common web application security and reliability practices.
- Solid command of structured programming and software design fundamentals: separation of concerns, clear interfaces, testability, and knowing what not to build.
- A track record of owning quality when an agent wrote the first draft—through tests, review, and production verification rather than trusting a green build.
- Clear written communication and comfort working asynchronously across time zones.

Nice to Have

- Experience with Hono, Zod, Drizzle, React, or Vite.
- Experience building and maintaining full-stack applications with React, Vite, REST APIs, and backend services.
- Experience building evaluation harnesses for LLM output quality.

Education

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

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