Staff Software Engineer, Continuous Integration

Getchangesignal; 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

Staff Software Engineer, Continuous Integration

London, UK

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is seeking talented and experienced Software Engineers to join our Continuous Integration (CI) team within the Developer Productivity organization. The CI team is responsible for the infrastructure that enables hundreds of engineers to ship code safely and efficiently to production. By joining this team, you’ll have a direct impact on the velocity and reliability of Anthropic's research and product development.

The CI team manages Anthropic's continuous integration system, which includes:

• CI infrastructure for automated testing and code quality assurance across our monorepo, designed to scale with rapid growth
• Test infrastructure that runs on Kubernetes clusters across multiple cloud providers, handling intelligent test selection, execution, and reporting for a large and complex test suite
• Merge queue management and complex branching strategies that ensure code quality at scale
• CI tooling and automation to improve developer productivity and reduce operational overhead

Responsibilities

• Design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers
• Develop intelligent test selection systems that reduce CI time while maintaining code quality
• Build and improve incident response automation, including cluster load shedding, automatic recovery, and observability tooling
• Improve test infrastructure reliability through flake detection, quarantine systems, and test state management

You may be a good fit if you

• Have 10+ years of relevant industry experience building and operating large-scale CI/CD systems
• Have deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar)
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration at scale
• Have excellent communication skills and enjoy supporting internal partners
• Care deeply about reliability and building systems that "never fail the same way twice"

Strong candidates may also have

• Experience with merge queues and branch management at scale
• Experience with test infrastructure, including intelligent test selection and flake management
• Experience building CLI tools and developer-facing services
• GitHub API and automation experience

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.