Site Reliability Engineer - AI Infrastructure

Hamilton Barnes; United Kingdom; Remote; GBP 102,000 - 138,000; Full time

Benefits offered by this job

Fully remote (UK-based)

Benefits package to be confirmed

Job summary

Hamilton Barnes is seeking a Site Reliability Engineer to own the reliability and performance of large-scale GPU infrastructure. The role focuses on automation, observability, and self‑service tooling in a fully remote, UK‑based team.

You will design and maintain dashboards, implement runbook‑as‑code, and drive incident management with strong Python‑driven tooling. This is a remote opportunity open to candidates across the UK.

Qualifications

• Proven track record as an SRE or Production/Infrastructure Engineer with hands-on GPU infra responsibility.
• Strong Python for automation and tooling in live environments.
• Deep observability and dashboarding experience (Prometheus, Grafana) and alert design.
• Ownership mindset, calm under pressure, autonomous remote work.

Responsibilities

• Own reliability and performance of production GPU infrastructure and high‑performance networking.
• Design, build, and maintain observability, monitoring, and dashboards; improve signal quality.
• Build Python-based automation for incident triage and runbook execution; maintain runbook‑as‑code.
• Integrate observability, ITSM and infrastructure APIs to enrich alerts and automate workflows.
• Deliver internal tools and self‑service capabilities, including CLI utilities and dashboards.
• Turn post‑incident learnings into better tooling and auditable automation with approvals.

Skills

SRE/Production Engineer

GPU infrastructure

Python automation

Observability & dashboards

Incident management

Runbook-as-code

Alert design

Autonomy in remote teams

Tools

Prometheus

Grafana

Job description

A newly created opportunity exists for a Site Reliability Engineer to keep large‑scale GPU infrastructure fast, stable, and observable, working where reliability, networking, and platform engineering meet. The ideal candidate will build the automation, observability, and self‑service tooling that make live GPU infrastructure more reliable, while helping shape operational standards within a small, technically strong team. This is a fully remote role open to candidates anywhere in the UK.

Responsibilities

• Own the reliability and performance of production GPU infrastructure, including the high‑performance networking that underpins it.
• Design, build and maintain observability, monitoring and dashboards. Improve signal quality through correlation, enrichment, suppression and deduplication.
• Build Python‑based automation for incident triage, runbook execution and routine operational tasks. Maintain version‑controlled runbook‑as‑code and automation libraries.
• Integrate observability, ITSM and infrastructure APIs to enrich alerts and automate end‑to‑end operational workflows.
• Deliver internal tools and self‑service capabilities, including CLI utilities, ChatOps integrations and dashboards.
• Turn post‑incident learnings into better tooling and operational standards. Build safe, auditable automation for higher‑risk actions, with appropriate approval controls.

Skills/Must have

• Experience: A proven track record as an SRE or Production/Infrastructure Engineer, with hands‑on responsibility for GPU infrastructure in a live production environment.
• Core Tech/Domain: Production GPU infrastructure operations (for example, GPU cloud, AI/ML compute clusters or HPC). Strong Python for automation and tooling.
• Methodology/Protocols: Deep observability and dashboarding experience (for example, Prometheus, Grafana or similar), alert design and noise reduction, incident management, and runbook‑as‑code practices.
• Soft Skills: An ownership mindset, calm under incident pressure, and the discipline to fix root causes through automation rather than repeating manual fixes. You should be comfortable working autonomously in a remote team.

Desirable Skills

• Networking reliability experience, particularly low‑latency networking and InfiniBand
• Platform engineering background (Kubernetes, infrastructure‑as‑code, internal developer platforms)
• HPC infrastructure exposure (for example, Slurm‑managed clusters or research computing environments)
• ChatOps and ITSM integration experience (for example, Slack/Teams bots, ServiceNow or Jira Service Management APIs)

Benefits

• Fully remote working (UK‑based)
• Full benefits package to be confirmed

Salary

• £120,000