Senior Site Reliability Engineer

Capital Executive Search; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Capital Executive Search is seeking a Senior Site Reliability Engineer to join a leading AI infrastructure business in Sydney. The role focuses on reliability across large-scale GPU infrastructure, data centres and AI cloud services.

It is a hands-on position involving systems engineering, automation, incident leadership and mentoring across multiple sites. You will own SLOs and error budgets, lead Sev0/Sev1 incident command, and drive fleet-wide remediation and automation to reduce toil.

Qualifications

• 5+ years of production reliability or infrastructure engineering experience
• Strong experience in GPU, HPC, cloud or large-scale data centre environments
• Deep expertise across systems/firmware, network/fabric, or platform/observability
• Proven experience delivering cross-site reliability programs with measurable outcomes
• Experience leading major incidents end to end with customer-facing RCAs and post-incident reviews
• Strong software engineering skills in Python or Go with automation and CI/CD
• Experience owning vendor escalations and influencing technical outcomes
• Mentoring engineers and elevating engineering standards
• Hands-on use of AI coding assistants and agentic tools for automation

Responsibilities

• Own service-level objectives (SLOs), error budgets and reliability reviews across multiple sites
• Lead technical incident command for Sev0/Sev1 incidents and deliver RCAs
• Design cross-site remediation and change programs with measurable reliability outcomes
• Establish operational standards for firmware, GPU acceptance, burn-in, and infrastructure provisioning
• Build fleet-level automation to eliminate recurring tickets and drift
• Partner with Cloud Platform Operations, Platform Engineering and Observability teams
• Own technical escalations with vendors such as NVIDIA, Dell or Fortinet
• Develop AI-enabled automation with testing, auditing and human approval controls
• Mentor engineers and contribute to engineering standards across the team

Skills

Site Reliability

Incident Management

Automation

Python

Go

CI/CD

Mentoring

Vendor Escalations

Tools

Prometheus

Grafana

OpenTelemetry

DCGM

Kubernetes

CI/CD tooling

Job description

I’m currently working with a leading AI infrastructure business that is scaling its global Cloud Operations and Site Reliability Engineering function. They are looking for Senior Site Reliability Engineers to improve reliability across large-scale GPU infrastructure, distributed data centres and AI cloud services. This is a hands‑on senior role combining systems engineering, automation, incident leadership and mentoring. You’ll own reliability outcomes across multiple sites, drive fleet‑wide improvements and use AI‑enabled engineering to eliminate operational toil at scale.

The Role

• Own service-level objectives (SLOs), error budgets and reliability reviews across multiple sites, improving availability, MTTD and MTTR
• Lead technical incident command for major incidents, including Sev 0 and Sev 1 events, and deliver customer‑facing root cause analyses
• Design and deliver cross‑site remediation and change programs, measuring improvements against defined reliability outcomes
• Establish operational standards for firmware, GPU acceptance and burn‑in, network fabrics and infrastructure provisioning
• Build fleet‑level automation to eliminate recurring tickets, manage configuration drift and improve infrastructure reliability
• Partner with Cloud Platform Operations, Platform Engineering and Observability teams on provisioning, telemetry, production readiness and self‑healing infrastructure
• Own technical escalations with vendors such as NVIDIA, Dell, Fortinet or network carriers
• Develop AI‑enabled automation with appropriate testing, auditing and human approval controls
• Mentor engineers, lead technical workshops and contribute to engineering standards across the team

Specialty Areas

Engineers will have a primary area of expertise and develop depth in a second:

• Systems & Fabric: GPU compute, firmware, node lifecycle, InfiniBand and hardware management
• Network & Edge: Ethernet, RoCE v2, BGP, VLANs, SD-WAN and network configuration management
• Platform & Observability: Prometheus, Grafana, OpenTelemetry, DCGM, telemetry pipelines, alerting and remediation automation

Desired Qualifications

• 5+ years of production reliability or infrastructure engineering experience, including senior‑level responsibility across multiple sites or regions
• Strong experience in GPU, HPC, cloud or large‑scale data centre environments
• Deep expertise in at least two relevant domains across systems and firmware, network and fabric engineering, or platform and observability
• Proven experience delivering cross‑site reliability programs with measurable outcomes and establishing standards adopted by vendors or engineering teams
• Experience leading major incidents end to end, including customer‑facing RCAs and post‑incident reviews
• Strong software engineering skills in Python or Go, including tested automation, CI/CD and tools that have measurably reduced operational toil
• Experience owning vendor escalations and influencing technical outcomes
• A track record of mentoring engineers and raising engineering standards across a team
• Daily hands‑on use of AI coding assistants and agentic tools, with experience building AI‑enabled workflows and implementing guardrails around testing, code review, permissions and autonomous execution
• Strong evidence‑based engineering practices, with a focus on verified data, operational accountability and safe production changes

Experience with NVIDIA DGX or SuperPOD, Fortinet FCX, fleet‑scale Kubernetes, WEKA or VAST storage, or bringing new GPU generations into production would be highly regarded.