Reliability Tech Lead (AI)

Location: US and Canada offices

Company

hirify.global builds wafer-scale AI hardware and an inference platform designed to deliver high-speed model training and inference.

What you will do

• Define reliability strategy, SLOs, and incident-response frameworks for the inference service.
• Design and implement fault detection, graceful degradation, failover, throttling, and recovery mechanisms across regions and data centers.
• Lead incident management, postmortems, root-cause analysis, and prevention initiatives.
• Architect for redundancy, durability, observability, and debuggability across the inference stack.
• Develop tooling and frameworks for chaos testing, load simulation, and distributed fault injection.
• Partner with software, infrastructure, and hardware teams while monitoring reliability metrics and mentoring engineers.

Requirements

• Bachelor’s or master’s degree in computer science or a related field.
• 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems.
• Strong programming skills in at least one backend language, such as Python, C++, Go, or Rust.
• Deep experience with SLO, SLI, and SLA design, incident response, and postmortem practices.
• Excellent communication and cross-functional leadership skills.

Nice to have

• Experience building large-scale AI infrastructure systems.

Culture & Benefits

• Work on a breakthrough AI platform and one of the world’s fastest AI supercomputers.
• Opportunities to publish and open-source AI research.
• Job stability combined with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.
• Continuous learning, growth, and support in an inclusive work environment.