Mid
Keep Pinterest's 100+ cluster, 6PB MySQL infrastructure reliable at scale
Pinterest is hiring a Software Engineer II on the MySQL Infra team, responsible for the database systems underpinning hundreds of business-critical use cases. The interview centers on hands-on large-scale MySQL operations, infrastructure-as-code, and how you use AI responsibly to accelerate engineering work.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Pinterest's process emphasizes explaining your approach and reasoning throughout, consistent with their published AI-in-hiring philosophy.
What this interview tests
- Large-scale MySQL operations (100+ clusters, multi-petabyte scale)
- Production on-call: alerting, diagnosis, root cause, stakeholder communication
- Infrastructure-as-code (Terraform, Puppet) for provisioning database systems
- Reliability, scalability, and cost-efficiency trade-offs at scale
- Responsible use of AI to accelerate engineering and operations
- Python for backend/infra tooling
Common question themes
Walk through diagnosing a production MySQL incident you were paged for
How do you safely roll out a schema or config change across many clusters
Describe using Terraform or Puppet to provision database infrastructure
How have you used AI to accelerate a debugging or design task, and how did you validate it
Trade-offs between reliability, performance, and cost at scale
How do you explain a complex technical decision to non-specialist stakeholders
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