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Principal Engineer, Compute Platform

1 hour, 44 minutes ago
United States
Full-time
Lead
Infrastructure Engineer
DevOps and Infrastructure
Generative AI Kubernetes
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 66

Description

  • Lead the consolidation and modernization of Pinterest’s shared compute infrastructure under PinCompute.
  • Design and implement Kubernetes-based solutions that scale for large, stateful, and data-intensive workloads.
  • Replace isolated dedicated compute pools with a large-scale shared, container-based compute platform.
  • Work with platform leads and internal customers to define features, migration paths, and platform requirements.
  • Increase platform utilization through workload stacking, bin packing, oversubscription, and related efficiency techniques.
  • Lead engineering discussions and decisions on design, execution, trade-offs, observability, performance, and operability.
  • Evolve the platform toward a multi-cloud abstraction layer that supports workloads across cloud providers.
  • Partner on capacity planning, cost visibility, instance-type fungibility, and infrastructure efficiency.
  • Drive delivery of GPU resources through the platform to support AI workloads.
  • Use AI tools to accelerate migrations, improve self-service, and apply AI to operational troubleshooting and root-cause analysis.
  • Set high standards for production quality and engineering excellence across the platform team.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 12+ years of relevant industry experience building large-scale production distributed systems.
  • 5+ years of experience with Kubernetes in production.
  • Experience working across SWE and SRE or Production Engineering teams to deliver robust production systems.
  • Experience running distributed data systems and migrating them to Kubernetes is highly preferred.
  • Ability to work with cross-functional partners across multiple organizations.
  • Passion for automation, reducing toil, and building effective tooling.
  • Experience with stateful workloads and GPU-heavy AI workloads is relevant to the role.
  • Ability to operate in ambiguous situations with evolving workload, production, and multi-tenancy requirements.
  • Experience with cloud infrastructure and multi-cloud environments is beneficial.

Benefits

  • Base salary range of $242,634 to $499,541 USD for US-based applicants.
  • Eligible for equity.
  • Remote-eligible role with in-office collaboration required only 1-2 times per quarter.
  • Can be situated anywhere in the country.
  • No relocation assistance provided.
  • Access to Pinterest’s benefits package and company culture resources.

Interested in this position?

Apply directly on the company website

Apply Now

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