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Senior Site Reliability Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2010H1B SponsorCompany SiteLinkedIn

Location

California

Posted

2 days ago

Salary

$139.8K - $287.7K / year

Seniority

Senior

Job Description

Senior Site Reliability Engineer

Pinterest

• Ensuring the reliability, availability, and performance of production infrastructure and platform services • Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads • Managing GitOps-based deployment workflows using ArgoCD and Helm • Driving infrastructure provisioning and change management through Terraform/Terragrunt • Building and supporting CI/CD automation and deployment workflows using GitHub Actions • Leading incident response efforts, root cause analysis, and post-incident improvement initiatives • Reducing operational toil through scripting, tooling, and process automation • Advancing observability practices across logs, metrics, traces, dashboards, and alerting • Supporting secure secrets integration, IAM-aware operations, and platform guardrails • Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes

Job Requirements

  • 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
  • Strong hands-on experience operating AWS in production environments
  • Deep expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
  • Proven experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns
  • Experience implementing and operating ArgoCD within a GitOps delivery model
  • Strong hands-on experience with Helm
  • Strong experience with Terraform/Terragrunt for infrastructure provisioning and environment management
  • Solid scripting and automation skills using Bash and/or Python
  • Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions
  • Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
  • Experience with monitoring, alerting, and observability in production environments
  • Demonstrated ownership mindset with experience handling incidents, resolving production issues, and driving follow-through after outages
  • Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams
  • Bachelor’s degree in computer science, engineering, a related field or equivalent experience
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Benefits

  • Equity
  • Flexibility to do your best work
  • Professional development opportunities

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