Staff Software Engineer, Capacity Engineering

Zigsaw

Staff Software Engineer, Capacity Engineering at Pinterest improving cloud-native infrastructures by enhancing performance and efficiency on a large scale. Collaborating across teams with a focus on AI innovations.

Posted 6/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $177,185 - $364,795 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaKubernetesPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Information regarding the culture at Pinterest and benefits available for this position can be found here.

ATS Keywords

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Hard Skills & Tools

Kubernetesperformance engineeringdistributed systemsJavaPythonC++AIcloud-native platformsoptimizationprofiling

Soft Skills

communicationcollaborationcritical evaluationownershipintegrityproblem-solvingstakeholder engagementadaptabilityanalytical thinkingdecision-making