Staff CI Engineer: Scalable Build & Test Automation

Anthropic Limited; Greater London; Hybrid; GBP 112,000 - 157,000; Full time

Job summary

Anthropic Limited is seeking a Staff Software Engineer for the Continuous Integration team in London. You will design scalable CI infrastructure used by hundreds of engineers, build intelligent test selection, and drive automation to improve reliability and speed across multiple cloud providers.

The role emphasizes strong collaboration with internal partners, reliability, and building tools that never fail the same way twice. Join a mission-driven team advancing safe and steerable AI research.

Qualifications

• 10+ years of experience building and operating large-scale CI/CD systems.
• Deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions or similar).
• Experience with container orchestration at scale.
• Excellent communication and ability to support internal partners.

Responsibilities

• Design and build highly reliable, scalable CI infrastructure for thousands of daily builds across multiple clouds.
• Develop intelligent test selection systems to reduce CI time while preserving quality.
• Improve incident response automation, including cluster load shedding and observability tooling.
• Enhance test infrastructure reliability through flake detection and state management.

Skills

CI/CD systems

CI orchestration tools

Container orchestration

Developer productivity

Observability tooling

Education

Bachelor’s degree

Tools

Buildkite

Jenkins

GitHub Actions

Job description

Anthropic Limited is seeking a Staff Software Engineer for the Continuous Integration team in London. You will design scalable CI infrastructure used by hundreds of engineers, build intelligent test selection, and drive automation to improve reliability and speed across multiple cloud providers.

The role emphasizes strong collaboration with internal partners, reliability, and building tools that never fail the same way twice. Join a mission-driven team advancing safe and steerable AI research.