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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.

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可能的面试形态

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.

这场面试考什么

  • 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

常见提问方向

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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