Site Reliability Engineer II, tvScientific

Pinterest; United States; On-site; USD 114,297 - 235,319; Full time

Job summary

Pinterest is seeking a Site Reliability Engineer to manage production infrastructure and platform services. The ideal candidate will have 4+ years of experience in Site Reliability Engineering, strong AWS and Kubernetes expertise, and proven scripting skills. Responsibilities include ensuring system reliability, managing CI/CD pipelines, and collaborating across teams.

The position offers a salary range of $114,297 – $235,319 USD and is not eligible for relocation assistance. US applicants only.

Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure.
• Strong expertise in Kubernetes, troubleshooting, and administration.
• Experience with monitoring, alerting, and observability.
• Demonstrated ownership mindset in incidents and production issues.

Responsibilities

• Ensure reliability, availability, and performance of infrastructure services.
• Operate and scale Kubernetes platforms.
• Manage GitOps-based deployment workflows.
• Build CI/CD pipelines using GitHub Actions.

Skills

AWS production environments

Kubernetes operations

Terraform/Terragrunt

CI/CD pipelines

Scripting (Bash/Python)

Incident response

Observability

Education

Bachelor's degree in computer science, engineering, or a related field

Tools

Kubernetes

GitOps (ArgoCD)

GitHub Actions

Job description

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 Pin Flex page to learn more about our working model.

Salary Range: $114,297 – $235,319 USD. US based applicants only.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.