SRE Lead for 24x7 AI Platform Reliability

Graphcore

Austin (TX)

Hybrid

USD 170,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Flexible spending accounts

Job summary

Graphcore seeks an experienced Site Reliability Engineering leader to build and lead a new SRE organization for a rapidly scaling AI supercomputing platform in Austin, TX. The role covers formation, hiring, and establishing production readiness for a 24x7 service, partnering with engineering, and ensuring reliability is engineered in from the ground up.

The SRE Manager will work hands-on during development and early production, then scale the team, tools, and processes with a focus on

Qualifications

  • Experience building or leading SRE/Production Engineering for large-scale, highly available production infrastructure.
  • Experience taking a platform from readiness through launch, stabilization and scale.
  • Strong background in Linux, networking, storage, distributed systems, automation.

Responsibilities

  • Build and grow the SRE organization from initial formation to 24x7x365 production operations.
  • Define operating model, staffing, on-call, incident management and runbooks with strong automation.
  • Lead production readiness, SLOs, alerting standards and reliability reporting.
  • Drive blameless post-incident reviews and continuous improvement.

Skills

SRE leadership
Production engineering
Incident leadership
Linux
Networking
Observability
Automation
On-call management

Tools

Kubernetes
Slurm
Datacenter operations

Job description

Graphcore seeks an experienced Site Reliability Engineering leader to build and lead a new SRE organization for a rapidly scaling AI supercomputing platform in Austin, TX. The role covers formation, hiring, and establishing production readiness for a 24x7 service, partnering with engineering, and ensuring reliability is engineered in from the ground up.

The SRE Manager will work hands-on during development and early production, then scale the team, tools, and processes with a focus on

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