Cloud Operations Engineer

O'Reilly

. Platform & Infrastructure: Design, build, and maintain cloud infrastructure using infrastructure-as-code (Terraform) on GCP .

Posted 5/6/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $128,000 - $174,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud infrastructureKubernetesinfrastructure-as-codeTerraformscriptingautomationPythonBashLinux systems administrationCI/CD

Soft Skills

communicationcollaborationproblem-solvingdocumentationblameless post-mortemsrecommendations for improvementknowledge sharingteamworkadaptabilitycritical thinking

Certifications

Bachelor's degree in Computer Science