TL;DR
Staff Software Engineer, Continuous Integration (AI): Designing and building highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers with an accent on automated testing, code quality assurance, and developer productivity. Focus on intelligent test selection, merge queue management, and improving incident response automation for an AI systems development environment.
Location: Hybrid in San Francisco, New York City, or Seattle, USA (expected in office at least 25% of the time). Visa sponsorship available.
Salary: $405,000–$485,000 USD
Company
hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.
What you will do
- Design and build highly reliable, scalable CI infrastructure for thousands of daily builds across multiple cloud providers.
- Develop intelligent test selection systems to 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.
- Manage merge queues and complex branching strategies to ensure code quality at scale.
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).
- Experience with container orchestration at scale.
- Excellent communication skills.
- Care deeply about reliability and building resilient systems.
- Bachelor's degree in a related field or equivalent experience required.
Nice to 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, or GitHub API automation.
Culture & Benefits
- Work as a single cohesive team on large-scale AI research efforts.
- Value impact, steerable, trustworthy AI, and an empirical science approach to AI research.
- Collaborative group with frequent research discussions.
- Competitive compensation and benefits, optional equity donation matching.
- Generous vacation and parental leave, flexible working hours.
- Lovely office space for collaboration.
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