Senior
Senior SRE for Pinterest's Compute SRE team, building the future on Kubernetes/EKS
Join Pinterest's Compute SRE team ensuring every workload runs smoothly on Kubernetes at massive scale, with hands-on work like implementing Karpenter on EKS. This Toronto-based, mostly-remote role (1-2 office days per half) requires 4+ years of Python/Golang, deep EKS/Kubernetes debugging skill, and demonstrated fluency using AI coding tools like Cursor/Copilot/Claude as part of daily engineering work.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Pinterest publishes its AI-in-hiring philosophy; expect interviewers to probe how you think and explain your approach, including how you use AI tools, not just the final answer.
What this interview tests
- Kubernetes/EKS deploy patterns, rollout safety, debugging
- Infrastructure automation with Terraform, Buildkite, ArgoCD
- AI-assisted engineering workflow with critical verification
- SLI design and toil reduction
- Capacity and performance management at scale
- Cross-team collaboration on shared infra
Common question themes
Walk me through a Kubernetes/EKS incident you debugged end to end
Describe implementing or improving an autoscaling system like Karpenter
Give an example of using Claude/Copilot/Cursor and how you verified its output
How do you design an SLI that's actually actionable, not vanity
Tell me about automating away a recurring source of operational toil
How would you manage capacity for a workload spanning public and private cloud
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