Platform Reliability Leader – 24/7 Global SRE

Matchbox

Sydney

Hybrid

AUD 180,000 - 280,000

Full time

2 days ago
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Job summary

Firmus Technologies is seeking a Platform Reliability Engineering Manager to lead a global reliability team, handling 24/7 on-call, incident command, and escalation for major incidents. The role focuses on driving automated runbooks, improving incident response, and ensuring production readiness across AI infrastructure platforms.

The ideal candidate has hands-on SRE experience, strong Linux/Kubernetes skills, and a track record of mentoring engineers.

Qualifications

  • Hands-on engineering in infrastructure operations or site reliability engineering (Linux, networking, storage, Kubernetes/virtualisation).
  • Experience leading 24/7 operations, SRE or production engineering teams at scale.
  • Proficiency in scripting/programming (Python/Go/Bash) and infrastructure as code.

Responsibilities

  • Lead the platform reliability team across regions, including hiring and development.
  • Manage 24/7 on-call and incident command rosters.
  • Serve as incident commander for major incidents.
  • Act as senior escalation point for complex faults and RCA reviews.
  • Manage service level objectives and report performance to leadership.
  • Coordinate with specialist engineering teams on escalation paths and responses.
  • Drive runbooks and automation to fix root causes and reduce toil.
  • Develop engineers into senior roles with mentoring and rotations.
  • Ensure new services are production-ready and properly supported.

Skills

Linux
Networking
Storage
Kubernetes
Virtualisation
Python
Go
Bash
Infrastructure as Code

Tools

Jira Service Management
ServiceNow
PagerDuty
Grafana

Job description

Firmus Technologies is seeking a Platform Reliability Engineering Manager to lead a global reliability team, handling 24/7 on-call, incident command, and escalation for major incidents. The role focuses on driving automated runbooks, improving incident response, and ensuring production readiness across AI infrastructure platforms.

The ideal candidate has hands-on SRE experience, strong Linux/Kubernetes skills, and a track record of mentoring engineers.

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