Requirements

Strong software engineering fundamentals with experience designing, shipping, and operating production software.
Practical AWS serverless experience, including building or maintaining serverless infrastructure, deployment pipelines, or development environments.
Hands-on experience with AI-assisted development, understanding coding agents' capabilities and failure modes.
Product engineering background with experience shipping user-facing features and translating developer needs into well-designed tools and services.
Ability to independently scope ambiguous technical problems, assess alternatives, and deliver projects.
Effective collaboration skills, including clear communication of technical decisions and working constructively across teams.

What You'll Be Doing

Building systems for AI-native software engineering, enabling engineers to delegate engineering work to agents.
Improving development and testing environments to reproduce problems, run applications, and verify changes.
Evaluating agent behavior quality and measuring the impact of changes on correctness, review effort, reliability, and cost.
Identifying and addressing engineering bottlenecks to enhance engineering productivity and software quality.
Leading tooling selection and adoption, including making build-versus-buy decisions and rolling out an agentic development platform.
Owning systems through technical design, implementation, deployment, and ongoing operation with focus on reliability and maintainability.

Developer tooling experience.
Experience with TypeScript, React, Postgres, AWS serverless infrastructure, SST, Pulumi, GitHub Actions, and Datadog.

Competitive geo-localised benefits tailored for UK and US employees.
Hybrid work model with in-person office work on Tuesdays, Wednesdays, and Thursdays.
Opportunity to join early and shape how engineers and agents design, build, and verify software.
Direct collaboration with product engineers and Platform Engineering teams.
Commitment to diversity and an inclusive team culture.