Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Staff Software Engineer, Continuous Integration role.
Rezi rewrites your resume against Anthropic's job description. Free.
Tailor your resume to this Staff Software Engineer, Continuous Integration role.
Rezi rewrites your resume against Anthropic's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Software Engineer, Continuous Integration posting at Anthropic — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Software Engineer, Continuous Integration posting at Anthropic — free, in seconds.
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.
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
Requirements
- 10+ years of relevant industry experience building and operating large-scale CI/CD systems
- Deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar)
- Obsessed with developer productivity and reducing friction in the software development lifecycle
- Experience with container orchestration at scale
- Excellent communication skills and enjoy supporting internal partners
- Care deeply about reliability and building systems that "never fail the same way twice"
- 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
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 10+ years
Education Level
- Bachelor's degree or an equivalent combination of education, training, and/or experience
Salary/Compensations
- £325,000—£390,000 GBP
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
About the Company
- 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.
- 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.
- 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.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.