Назад
6 часов назад

Staff Software Engineer (DevOps/AI)

405 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (DevOps/AI): Building and optimizing end-to-end CI/CD pipelines and developer infrastructure for large-scale AI research with an accent on build-graph performance, AI-assisted code review, and release reliability. Focus on scaling repository topology, reducing merge-to-production latency, and driving cross-team engineering standards.

Location: Must be based in or able to commute to San Francisco, CA or New York City, NY (Hybrid: 25%+ in-office)

Salary: $405,000 - $485,000 USD

Company

Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems.

What you will do

  • Own the end-to-end build, test, merge, and deploy pipeline architecture.
  • Optimize the time from code push to production as a core engineering metric.
  • Design and tune AI-assisted code review systems to maintain high confidence at scale.
  • Build robust release paths including canary analysis, progressive rollouts, and automated rollbacks.
  • Improve test reliability by identifying and quarantining intermittent failures.
  • Represent the Developer Productivity team in cross-org pipeline and infrastructure decisions.

Requirements

  • Significant backend or developer-infrastructure engineering experience at scale.
  • Proficiency in Python and at least one statically-typed systems language (Go or Rust).
  • Experience operating CI/CD or release systems through production incidents.
  • Demonstrated ability to build consensus across platform, security, and product teams.
  • Comfort using AI coding tools as a daily part of your workflow.
  • Must be able to work from the San Francisco or New York office at least 25% of the time.

Nice to have

  • Experience with Bazel or similar build-graph/test-targeting systems.
  • Track record of leading monorepo migrations or repository topology changes.
  • Familiarity with Kubernetes, Buildkite, or GitHub Actions.
  • Experience authoring engineering policy or paved-path tooling.

Culture & Benefits

  • Competitive compensation and benefits package.
  • Flexible working hours and generous vacation/parental leave.
  • Collaborative research-driven environment with frequent team discussions.
  • Optional equity donation matching.
  • Modern office space designed for collaboration.

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