About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .

About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform.

Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a 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 contribute to improving the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem.

The ideal candidate is a hands-on engineer with solid production experience and a strong foundation in building and supporting resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices.

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 pipeli

Site Reliability Engineer II, tvScientific