Evaluation Reliability SRE

Cupertino, CA, US • Posted 4 days ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Backbone.js
  • System Integration Testing
  • Operational Excellence
  • Solaris
  • Fluency
  • Log Analysis
  • Orchestration
  • Kubernetes
  • Resource Management
  • Scheduling
  • Virtual Machines
  • Provisioning
  • Virtualization
  • Reliability Engineering
  • Management
  • Evaluation
  • Machine Learning (ML)

Summary

Siri's quality signal drives every model and product decision before a release ships. But a signal is only as trustworthy as the infrastructure behind it.\\n\\nThe Evaluation Reliability Engineering (ERE) team exists to make that infrastructure bulletproof. Within ERE, Core SRE owns the production backbone: resource management, session orchestration, on-call response, and the observability systems that surface failures before they corrupt evaluation signal. We sit at the intersection of distributed systems, ML evaluation infrastructure, and operational excellence.\\n

This is a senior hands-on role. You share primary on-call as part of a global follow-the-sun rotation, lead incident investigations end-to-end, and set the operational bar the rest of the team works against. You are fluent with agentic coding tools like Claude Code, Cursor, or Copilot, and use them as a force multiplier across runbook authoring, automation, and log analysis.\n

5+ years of site reliability, infrastructure, or platform engineering experience with direct on-call ownership in production systems\nHands-on orchestration experience (Kubernetes or equivalent): cluster health, resource management, scheduling, and failure diagnosis at scale\n

Experience owning or closely operating a device or VM provisioning pipeline; familiarity with virtualization-layer failure modes is a strong plus\nTrack record of improving system reliability against measurable outcomes - uptime, MTTR, incident frequency - not just responding to incidents but eliminating their causes\nIncident command discipline: able to lead a multi-team incident from declaration to close-out\nDepth in at least one of: distributed systems reliability, device management infrastructure, evaluation or ML platform operations\nDemonstrated cross-team technical influence; prior experience shaping reliability practices beyond the immediate team
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: ae9de3d2e56ff5b930f737e7139efdbe
  • Posted 4 days ago
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