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Site Reliability Engineer (SRE)

Site Reliability Engineer drives end-to-end reliability for AI fine-tuning platform Tinker, including SLOs, monitoring, incident response, and multi-tenant GPU scheduling. Requires distributed systems experience, software proficiency for reliability, and production incident handling.

About the job

What You’ll Do

  • Define and own end-to-end reliability, from CI/CD flows to production observability and incident response.
  • Develop appropriate Service Level Objectives for distributed training systems, balancing job completion reliability and scheduling latency with development velocity.
  • Design and implement monitoring and observability across the full training path.
  • Drive incident response for Tinker platform issues, ensuring rapid recovery, thorough incident reviews, and systematic improvements that prevent recurrence.
  • Harden multi-tenant isolation and resource scheduling so that LoRA-based workload co-scheduling maximizes utilization without compromising reliability or data separation
  • Collaborate with security teams to address production vulnerabilities

Skills and Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
  • Experience in distributed systems, cloud infrastructure, or site reliability engineering.
  • Proficiency writing software to solve reliability problems, including building tooling and automation.
  • Experience with production incident response, postmortems, and systematic reliability improvement.
  • Strong communication skills and track record of coordination across engineering and research teams.

Preferred qualifications:

  • Deep experience operating production cloud services at scale (e.g., public cloud platforms, internal cloud services)
  • Background in distributed training frameworks and how infrastructure failures surface in training behavior.
  • Track record building checkpoint and recovery systems for long-running distributed jobs.
  • Expertise in Kubernetes at scale: deploying, operating, debugging, and tuning clusters handling heterogeneous GPU workloads.

Compensation

Expected annual salary range: $350,000 – $475,000 USD.

Benefits

Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills

Kubernetes, Distributed Systems, Cloud Infrastructure, CI/CD, Observability, Incident Response, SLOs, Monitoring, Gpu Workloads, Automation Tooling

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