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Cloud Operations Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 201-500Since 1978H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

72 days ago

Salary

$128K - $174K / year

Seniority

Senior

Job Description

Cloud Operations Engineer

O'Reilly

• Platform & Infrastructure: Design, build, and maintain cloud infrastructure using infrastructure-as-code (Terraform) on GCP • Manage and evolve our Kubernetes platform, including cluster operations, workload configuration, and service mesh (Istio) • Develop and improve internal tooling that abstracts cloud complexity and improves the developer experience • Collaborate with product engineering teams to understand service deployment needs and deliver infrastructure solutions • Reliability & Observability: Monitor platform health using Datadog; proactively identify and resolve performance, availability, and security issues • Participate in on-call rotation and incident response; drive blameless post-mortems and eliminate recurring issues at their root cause • Define and track service-level indicators and objectives (SLIs/SLOs) for critical platform components • Implement and refine alerting, dashboards, and runbooks that reduce mean time to resolution • Security & Compliance: Embed security best practices into infrastructure workflows (DevSecOps) — not as an afterthought, but as a design principle • Help maintain cloud security posture, IAM hygiene, and policy guardrails across our cloud environment • Stay current with cloud security developments and proactively surface risks to the team • Execute and maintain our automated disaster recovery processes • Collaboration & Growth: Work closely with product engineering teams to understand their needs and remove infrastructure friction • Document systems, processes, and architectural decisions clearly so knowledge is shared, not siloed • Recommend improvements to tooling, architecture, and processes — and help drive them to completion • Keep current with the evolving cloud-native ecosystem and bring relevant knowledge back to the team

Job Requirements

  • Bachelor's degree in Computer Science or a related field
  • 5+ years of experience working in cloud infrastructure, platform engineering, or a related discipline
  • Hands-on experience with Kubernetes in production environments (cluster management, workloads, networking)
  • Proficiency with infrastructure-as-code tools, particularly Terraform
  • Experience with at least one major cloud provider (GCP, AWS, or Azure)
  • Solid scripting and automation skills in Python, Bash, or a comparable language
  • Experience with modern observability platforms (Datadog, Grafana, or similar)
  • Strong understanding of Linux systems administration
  • Working knowledge of CI/CD concepts and tools (GitHub Actions, ArgoCD, Jenkins, or similar)
  • Excellent communication skills — you write clearly, ask good questions, and explain complex systems accessibly
  • AI-Augmented Development: Has the ability to demonstrate using AI-enabled development tools (e.g., Claude Code, Cursor) to streamline coding, debugging, and infrastructure-as-code authoring.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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