Infrastructure Engineer (AI)

Location: Full-time, in-person role in San Francisco, United States

Annual base salary: $180,000–$250,000 USD, depending on relevant experience and role scope. Relocation assistance and visa sponsorship are available.

Company

hirify.global builds persistent computers for AI agents, including isolated environments where agents can run software, retain files and state, and operate over time.

What you will do

• Profile and improve builds, tests, CI queues, artifact transfers, caching, and local development workflows.
• Develop and improve Bessemer (BSMR), Hollywood, and other open-source build and workflow tooling.
• Design APIs, controllers, CLIs, and services with clear resource lifecycles, concurrency, cancellation, permissions, and failure reporting.
• Improve CI/CD, GitOps, environment provisioning, staging, production rollouts, recovery, and release traceability.
• Instrument systems with useful metrics, logs, and traces, and use incidents and manual work to identify software improvements.
• Assemble, provision, and maintain homelab machines and networks, and build infrastructure for reproducing and measuring failures.

Requirements

• Strong software engineering skills and experience building or operating infrastructure relied upon by other engineers.
• Deep experience with Go, Rust, C++, or another systems programming language, plus practical Linux debugging and thoughtful API design.
• Experience or relevant depth in build systems, CI/CD, GitOps, Kubernetes, observability, or infrastructure as code.
• Ability to investigate ambiguous problems, trace issues across application code, operating systems, storage, networks, and hardware, and measure improvements before shipping them.
• Ability to work full-time in person in San Francisco.

Nice to have

• Experience with Buck2, Bazel, Blaze, remote execution, or build cache design.
• Familiarity with Terraform and TypeScript tooling.
• Hands-on hardware and networking experience, including Linux provisioning, switches, routing, VLANs, Ethernet, SFP+/QSFP optics, direct-attach cables, RDMA, or RoCE.
• Open-source contributions, technical writing, code samples, or homelab projects.

Culture & Benefits

• Work directly with the CTO and engineers with substantial freedom to investigate, experiment, and choose technical approaches.
• Focus on clear abstractions, predictable failure behavior, meaningful tests, documentation, and maintainable systems.
• Use modern AI coding tools while understanding and taking responsibility for the resulting code.
• Relocation assistance is available.
• Visa sponsorship is available.

Hiring process

• Describe a system improvement, including the initial problem, investigation, changes, measurements, and decisions about what to leave unchanged.
• Optional contributions to the open-source repositories may demonstrate investigation, implementation, testing, code review, and response to feedback.