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CognitionCognitionSan Francisco, CA

Site Reliability Engineer

Owns production reliability (SLOs, monitoring, incident response) and platform engineering (CI/CD, infrastructure as code) for AI developer tools used by hundreds of thousands. Requires deep production systems experience, strong coding skills, and cloud proficiency.

Salary not listed
On-siteDevOps / SRE

About the role

What You'll Accomplish

Production Reliability

  • Define and own SLOs, SLIs, and error budgets for Devin and Windsurf.
  • Build the monitoring, alerting, and observability systems that give the team a clear, honest picture of service health at all times.

Incident Response and On-Call

  • Lead incident response with speed and clarity.
  • Run blameless postmortems that turn outages into durable improvements.
  • Build the runbooks and tooling that make on-call sustainable and effective.

Platform Engineering and CI/CD

  • Own the deployment pipelines, release infrastructure, and internal developer tooling that let the team ship fast without breaking things.
  • Reduce toil systematically so engineers spend time on work that matters.

Infrastructure as Code

  • Manage cloud infrastructure through code.
  • Build reproducible, auditable, version-controlled environments that scale with the product and eliminate configuration drift.

Capacity Planning and Performance

  • Model growth, forecast resource needs, and ensure the infrastructure stays ahead of demand.
  • Profile and improve system performance before users feel it.

Security and Reliability as One

  • Treat security not as a separate concern but as a reliability requirement.
  • Ensure that misconfigurations, vulnerabilities, and access failures are caught and remediated with the same urgency as outages.

Reliability Culture

  • Partner closely with product and engineering teams to build reliability in from the start.
  • Be the person who catches the single point of failure in the architecture review before it becomes a page at 2am.

Exceptional Candidates Have Demonstrated

  • Deep experience running production systems at scale: SLOs, error budgets, on-call rotations, and incident command
  • Strong software engineering fundamentals; SRE at Cognition means writing real code, not just configuring tools
  • Proficiency with cloud infrastructure (AWS, GCP, or Azure), container orchestration (Kubernetes), and infrastructure as code (Terraform or equivalent)
  • Experience building and owning CI/CD pipelines and deployment infrastructure for fast-moving product teams
  • Strong observability instincts: knows how to instrument systems, build useful dashboards, and design alerts that surface signal without generating noise
  • A track record of reducing toil systematically through automation, not just working around it
  • Comfort owning incidents end to end: detection, triage, mitigation, resolution, and postmortem
  • Enough product empathy to understand what reliability means from a user's perspective, not just an infrastructure one
  • Experience with developer-facing products or platforms is a strong plus

Skills

KubernetesTerraformAWSGCPAzureCI/CDSLOsSlisObservabilityIncident Response

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