Role Description
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. This role will be instrumental in advancing the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem.
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Ensuring the reliability, availability, and performance of production infrastructure and platform services
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Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads
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Managing GitOps-based deployment workflows using ArgoCD and Helm
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Driving infrastructure provisioning and change management through Terraform/Terragrunt
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Building and supporting CI/CD automation and deployment workflows using GitHub Actions
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Leading incident response efforts, root cause analysis, and post-incident improvement initiatives
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Reducing operational toil through scripting, tooling, and process automation
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Advancing observability practices across logs, metrics, traces, dashboards, and alerting
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Supporting secure secrets integration, IAM-aware operations, and platform guardrails
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Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes
Qualifications
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4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
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Strong hands-on experience operating AWS in production environments
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Deep expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
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Proven experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns
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Experience implementing and operating ArgoCD within a GitOps delivery model
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Strong hands-on experience with Helm
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Strong experience with Terraform/Terragrunt for infrastructure provisioning and environment management
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Solid scripting and automation skills using Bash and/or Python
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Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions
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Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
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Experience with monitoring, alerting, and observability in production environments
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Demonstrated ownership mindset with experience handling incidents, resolving production issues, and driving follow-through after outages
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Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams
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Bachelorβs degree in computer science, engineering, a related field or equivalent experience
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Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
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Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
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High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
Requirements
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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.
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Relocation Statement: This position is not eligible for relocation assistance.
Benefits
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee.
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The position is eligible for equity.
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Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
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Information regarding the culture at Pinterest and benefits available for this position can be found on our website.