Staff Software Engineer, Capacity Engineering

Remote Hybrid

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $177,185–$364,795 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k

This role $271k

$114k most similar roles pay here $392k

This role pays more than 95% of similar roles. Most pay $144,000–$225,912 — the shaded band above. At the midpoint, this role pays about $271k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 36 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Software Engineer, Capacity Engineering

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Pinterest is hiring a Staff Software Engineer for its Capacity Engineering team, focusing on enhancing the efficiency of large-scale cloud-native infrastructures. This role involves improving Kubernetes environments and distributed systems performance, developing profiling tools, and collaborating with Infrastructure Engineering and SRE teams to ensure highly available and efficient foundations for Pinterest’s tech stack. The ideal candidate will leverage AI to accelerate performance investigations, build self-service efficiency tooling, and validate optimization impacts through experiments. Required skills include deep infrastructure capacity knowledge, experience leading efficiency initiatives on Kubernetes or similar platforms, proficiency in Java, Python, and C++, and strong communication abilities. Bonus points for hands-on experience with large-scale cloud-native multi-tenant platforms.

Skills

Kubernetes AWS Python Java C++ CI/CD Docker Prometheus Grafana Terraform AI Cloud-Native Multi-TenantPlatforms InternetScaleInfrastructure

What you'll do

Improve efficiency of large-scale shared environments like Kubernetes.
Enhance performance and efficiency of distributed systems driving Pinterest’s tech stack.
Develop and mature profiling and optimization capabilities for massive scale operations.
Build tooling and agents to enable users to self-serve efficiency insights and recommendations.
Accelerate performance investigations by distilling logs, metrics, traces, and prior learnings.

What we're looking for

Deep understanding of infrastructure capacity and performance on large-scale systems.
Experience leading efficiency initiatives at scale in Kubernetes or similar environments.
Strong technical skills to collaborate on complex and ambiguous challenges with stakeholders.
Proficiency in software development languages such as Java, Python, and C++.
Hands-on experience building and managing highly available distributed applications at scale.
Excellent ability to communicate complex technical issues effectively.

Remote

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