Remote Senior SRE - AI Infra, Kubernetes & Terraform

Motion Recruitment

United States

Remote

USD 140,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, and vision
Equity / Stock Options
Remote equipment stipend
Annual learning and development budget
Flexible PTO
Career growth

Job summary

Motion Recruitment Partners, LLC is seeking a Remote Site Reliability Engineer to join a rapidly growing AI infrastructure company. You will improve reliability, scalability, and performance of a cloud platform built on Linux, Kubernetes, distributed systems, GPU infrastructure, observability, and automation technologies.

The role emphasizes ownership of high-impact reliability initiatives, collaboration across infra and product teams, and engagement with cutting-edge AI infrastructure used by

Qualifications

  • 5+ years of experience in a public cloud environment (AWS/GCP).
  • Strong Linux systems administration experience.
  • Strong networking fundamentals and troubleshooting skills.
  • Experience with containerized environments (Kubernetes preferred).
  • Experience with monitoring, alerting, and observability tools.
  • Experience defining and managing SLIs, SLOs, and reliability metrics.
  • Incident response and postmortem experience.
  • Scripting or programming experience (Python/Go/Bash).
  • Distributed systems and failure scenarios.

Responsibilities

  • Hands-on engineering across Linux and Kubernetes administration.
  • Lead monitoring, observability, and incident response activities.
  • Drive automation to improve reliability and reduce toil.
  • Collaborate with infra, product engineering, and support teams.

Skills

Linux administration
Kubernetes administration
Networking fundamentals
Monitoring & observability
SLIs/SLOs
Incident response
Scripting (Python/Go/Bash)
Distributed systems

Job description

Motion Recruitment Partners, LLC is seeking a Remote Site Reliability Engineer to join a rapidly growing AI infrastructure company. You will improve reliability, scalability, and performance of a cloud platform built on Linux, Kubernetes, distributed systems, GPU infrastructure, observability, and automation technologies.

The role emphasizes ownership of high-impact reliability initiatives, collaboration across infra and product teams, and engagement with cutting-edge AI infrastructure used by

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