
Staff Software Engineer, Capacity Engineering
Skills
About the role
About Pinterest:
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 on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest is seeking a Staff Software Engineer, Capacity Engineering. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems.
What you’ll do:
Improve the efficiency of large scale shared environments like Kubernetes
Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
Build develop and mature profiling and optimization capabilities for Pinterest scale
Collaborate with Infrastructure Engineering and SRE teams in their mission 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:
Accelerate performance investigations (e.g. quickly distill logs/metrics/traces and prior learnings) while verifying findings through measurement and testing
Build tooling and agents that allow users to self-serve efficiency insights and recommendations
Iterate faster on optimization approaches and rollout plans, then validate impact with experiments and production guardrails
What we’re looking for:
Bachelor’s degree in computer science, a related field or equivalent experience
Deep understanding of infrastructure capacity and performance
Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure
Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
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 (e.g., testing, source-checking, data validation, peer review)
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
Bonus points for the following:
Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$177,185 - $364,795 USD
Our Commitment to Inclusion:
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.
Compensation
This Software Engineer role pays $177k-$365k/yr. Within typical range for software engineer roles in United States.
Questions about this role
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