Staff SRE (AI)

Location: Hybrid in the SF Bay Area or Toronto

Company

hirify.global builds wafer-scale AI hardware and high-performance inference infrastructure for model labs, enterprises, and AI-native startups.

What you will do

• Define and implement strategies for reliable software delivery and operations across multiple datacenters and cloud environments.
• Architect self-service platforms and internal tooling for product teams, external customers, and cluster operators.
• Build GitOps-driven delivery for model releases, capacity provisioning, and cluster upgrades.
• Define SLOs, SLIs, error budgets, blameless postmortems, chaos testing, and capacity forecasting for inference workloads.
• Mentor SREs, support critical incident escalations, and prioritize automation based on production pain points.
• Measure toil reduction, deployment velocity, SLO compliance, MTTR, and self-service adoption.

Requirements

• 8+ years of experience in SRE, infrastructure engineering, or platform engineering.
• Experience improving automation and reliability at large scale in demanding technical environments.
• Deep expertise operating large heterogeneous clusters with a proprietary cloud control plane.
• Experience designing and delivering CI/CD or GitOps systems with Argo CD or similar tools.
• Hands-on experience with Loki, Tempo, Mimir, Prometheus, or comparable observability systems.
• Ability to lead complex projects, influence stakeholders, and communicate technical direction clearly.

Nice to have

• Production experience with Bazel or other large-scale build systems.
• Experience with AI/ML inference, model serving runtimes, GPU or wafer-scale orchestration, and latency or accuracy SLOs.
• Experience with predictive autoscaling, chaos engineering, or cost-aware capacity planning.

Culture & Benefits

• Work on a breakthrough AI platform and high-performance AI supercomputer.
• Opportunities to publish and open-source AI research.
• Startup vitality combined with job stability.
• Simple, non-corporate work culture that respects individual beliefs.
• No 24/7 on-call rotation is required.
• Commitment to an inclusive and diverse work environment with continuous learning and support.