# Staff Software Engineer, Capacity Engineering

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $177,185-$364,795 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7494668?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c9e55200-ef8

## Description

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.

Responsibilities:

- 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 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, and iterating faster on optimization approaches

Requirements:

- 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

- 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

- Strong track record of critical evaluation and verification of AI-assisted work

Benefits:

- Base salary range: $177,185-$364,795 USD

- Equity eligibility

- Flexible working model

Note: This role will need to be in the office for in-person collaboration 1-2 times/month.

## Skills

### Required
- Kubernetes
- distributed systems
- performance engineering
- Java
- Python
- C++
- AWS
- AI

### Nice to have
- large, cloud-native multi-tenant platforms at Internet scale

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7494668?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)