Senior & Staff Software Engineer, Continuous Integration
London, UKFull-TimeStaffSoftware Engineering
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 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.
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.
