Mid
Operate and scale tvScientific's AWS/Kubernetes/ArgoCD platform for CTV advertising
Keep a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps reliable and scalable for tvScientific, the CTV performance-advertising platform under Pinterest. Suited to an SRE/DevOps engineer with 4+ years hands-on production experience across Kubernetes multi-tenancy, Helm, Terraform/Terragrunt, and GitHub Actions CI/CD who can drive incident response and reduce operational toil through automation.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Kubernetes/EKS multi-tenancy: RBAC, namespaces, quotas, tenant isolation
- GitOps delivery with ArgoCD and Helm
- Infrastructure as code with Terraform/Terragrunt
- CI/CD automation with GitHub Actions
- Incident response, root cause analysis, and observability (logs/metrics/traces/alerting)
- Using and critically verifying AI-assisted work in production ops
Common question themes
How have you implemented Kubernetes multi-tenancy (RBAC, quotas, isolation) in production
Walk through a GitOps deployment with ArgoCD/Helm that went wrong and how you recovered
How do you structure Terraform/Terragrunt across multiple environments to prevent drift
Describe a CI/CD pipeline you built with GitHub Actions and the toil it removed
Walk through an incident end-to-end: detection, root cause, and post-incident fix
How do you use AI in your day-to-day ops work while still verifying correctness before production changes
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