Staff Cloud SRE (AI/ML)

TL;DR

Staff Cloud SRE (AI/ML): Building and scaling the reliability foundations of an AI cloud platform and GPU compute infrastructure with an accent on SLO/SLI operationalization, GPU cluster efficiency, and production readiness. Focus on designing self-healing patterns, reducing operational burden, and establishing SRE standards from the ground up.

Location: Hybrid in London, United Kingdom (minimum 2 days a week in the office)

Company

hirify.global is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products for automated driving systems.

What you will do

• Own the reliability, availability, and performance of the Model Development Platform and GPU Compute environments.
• Define and operationalize SLOs, SLIs, and error budgets across platform services.
• Lead incident triage, escalation, and root cause analysis as part of a 24/7 on-call rotation.
• Design and operate monitoring, logging, and tracing systems to enable rapid detection and recovery.
• Build automation for cluster operations, training workflows, and self-healing recovery patterns.
• Harden CI/CD and release processes to improve deployment safety and velocity.

Requirements

• Proven experience as an SRE or Production Engineer supporting large-scale cloud systems.
• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Strong production experience with Kubernetes and major cloud providers (AWS, GCP, or Azure).
• Proficiency in Linux fundamentals and at least one systems language such as Python, Go, or C++.
• Deep troubleshooting skills across networking, storage, and distributed systems.
• Must be based in London to support a hybrid work schedule

Nice to have

• Familiarity with Infrastructure-as-Code tools like Terraform.
• Experience as a founding SRE hire establishing processes from scratch.
• Experience defining and running reliability programs across multiple teams.

Culture & Benefits

• Hybrid working policy combining office-based innovation with remote flexibility.
• Opportunity to be a founding SRE shaping a new function within a high-growth AI company.
• Inclusive work environment that values diversity and new perspectives.
• Exposure to cutting-edge Embodied AI and autonomous driving technology.