Principal SRE (AI)

Location: On-site in the SF Bay Area or Toronto

Company

hirify.global Systems develops 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 reliably delivering and operating software across multiple datacenters and cloud environments.
• Architect self-service platforms and internal tooling for safely triggering and observing critical workflows.
• Design reliability practices for inference workloads, including SLOs, SLIs, error budgets, postmortems, chaos testing, and capacity forecasting.
• Support incident escalations, mentor senior SREs, and prioritize automation based on production pain points.
• Measure impact through toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.

Requirements

• 15+ years of experience in SRE, infrastructure engineering, or platform engineering in large-scale production environments.
• Deep experience with compute fleets, control planes, schedulers, orchestration systems, capacity management, and reliability automation.
• Experience driving cross-team architecture for production control planes, fleet management, capacity orchestration, or self-service infrastructure platforms.
• Ability to lead complex technical programs, influence senior stakeholders, mentor engineers, and communicate technical strategy.
• Hands-on experience with observability, incident response, and SLO-based reliability management across metrics, logs, traces, alerting, and dashboards.

Nice to have

• Experience with Bazel or other large-scale build systems.
• Background in AI/ML inference systems, model serving, disaggregated inference, GPU orchestration, latency and accuracy SLOs, or drift monitoring.
• Experience with predictive autoscaling, chaos engineering, or cost-aware capacity management.

Culture & Benefits

• Work on a wafer-scale AI platform designed beyond traditional GPU constraints.
• Opportunities to publish and open-source AI research.
• Access to one of the fastest AI supercomputers in the world.
• Startup vitality combined with job stability.
• Non-corporate culture focused on individual beliefs, learning, growth, and support.
• The role does not require 24/7 on-call rotations.