Senior Site Reliability Engineer
Pinterest- Base salary
- $140k–$288k Published base salary range
- Location
- Remote - US Remote eligibility
- Employment
- Full-time Senior
About the job
Pinterest is a global inspiration platform. tvScientific is the first and only CTV advertising platform purpose-built for performance marketers, combining media buying, optimization, measurement, and attribution in one platform.
We are seeking a Senior Site Reliability Engineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows.
What you'll do
- Ensure reliability, availability, and performance of production infrastructure and platform services
- Operate and scale Kubernetes platforms, including multi-tenant workloads
- Manage GitOps-based deployment workflows using ArgoCD and Helm
- Drive infrastructure provisioning and change management through Terraform/Terragrunt
- Build and support CI/CD automation using GitHub Actions
- Lead incident response, root cause analysis, and post-incident improvements
- Reduce operational toil through scripting and automation
- Advance observability practices across logs, metrics, traces, dashboards, and alerting
- Support secure secrets integration, IAM-aware operations, and platform guardrails
- Partner with application, security, and platform teams
What we're looking for
- 4+ years of experience in SRE, DevOps, Platform Engineering, or Cloud Infrastructure
- Strong hands-on experience operating AWS in production
- Deep expertise in Kubernetes, including cluster operations, troubleshooting, and platform administration
- Proven experience with Kubernetes multi-tenancy (namespaces, RBAC, quotas, policies)
- Experience implementing and operating ArgoCD within a GitOps delivery model
- Strong hands-on experience with Helm
- Strong experience with Terraform/Terragrunt
- Solid scripting and automation skills using Bash and/or Python
- Experience building CI/CD pipelines, ideally using GitHub Actions
- Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
- Experience with monitoring, alerting, and observability
- Demonstrated ownership mindset with incident handling
- Bachelor’s degree in CS, engineering, or equivalent experience
- Demonstrated ability to use AI to improve speed and quality, with critical evaluation of AI-assisted work
Compensation: Base salary range $139,764—$287,749 USD, eligible for equity. US based applicants only.
Location: Remote, US; also San Francisco, CA, US. Not eligible for relocation assistance.
Application: Apply via the Pinterest careers page.
Skills & tags
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