Original listing text, shown exactly as published by the company.
What you’ll do
- 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
- Supporting infrastructure provisioning and change management through Terraform/Terragrunt
- Building and supporting CI/CD automation and deployment workflows using GitHub Actions
- Participating in incident response, 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
What we're looking for
- 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
- Strong hands-on experience operating AWS in production environments
- Good expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
- 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
- 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 and resolving production issues
- 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
In-Office Requirement Statement
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
