Staff Software Engineer, Capacity Engineering

About the Position

Staff Software Engineer, Capacity Engineering

San Francisco, CA, US; Remote, US

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. We are seeking a Staff Software Engineer, Capacity Engineering to join our team and drive efficiency in one of the largest-scale cloud-native infrastructures in the world.

Responsibilities

• Drive efficiency in large-scale shared environments like Kubernetes, including scheduling optimization, resource-overhead reduction, and resource isolation in multi-tenant clusters
• Improve the performance and efficiency of large-scale distributed systems that drive Pinterest systems
• Use profiling and performance tooling fluently to root-cause performance and efficiency problems, propose solutions, and partner with the owning teams to implement and validate them
• Collaborate with Infrastructure Engineering and SRE teams to deliver highly available, resilient, secure, and efficient foundations for Pinterest’s tech stack
• Leverage AI to scale the impact of yourself and the team, including:
  • Accelerating performance investigations
  • Building tooling and agents for self-serve efficiency insights and recommendations
  • Iterating faster on optimization approaches and rollout plans, then validating impact with experiments and production guardrails

Requirements

• Bachelor’s degree in computer science, a related field, or equivalent experience
• Deep understanding of infrastructure capacity and performance, with a strong command of system and hardware fundamentals
• Experience leading efficiency initiatives at scale on Kubernetes or other large-scale shared infrastructure
• Strong technical and performance engineering skills, including fluency with profiling and performance tools such as perf and async-profiler
• Experience building and managing highly available distributed applications at scale
• Proficiency in software development languages such as Java, Python, and C++
• Excellent skills in communicating complex technical issues
• Experience with AWS or similar cloud environments
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice to Have

• Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale

We Offer

• Competitive salary range: $177,185-$364,795 USD
• Equity eligibility
• Hybrid work model with in-person collaboration 1-2 times/month

About the Company

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, we’re committed to creating an equitable, inclusive, and inspiring workplace for every employee.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state, or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.