Primary record

Staff Software Engineer, Edge

Pinterest Indexed employerUS; Remote, US · Palo Alto, CA, US
Source-hosted applyChecked 4h agoInternship
Apply at Pinterest

Pinterest receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

remote

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

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 read more about our AI interview philosophy and how we use AI in our recruiting process here .

Job Title: Staff Software Engineer, Edge Team.

Intro : The Edge team owns the systems (including CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We're looking for a Staff Software Engineer to lead our efforts to manage automation traffic (such as bots and crawlers) at the Edge, while shaping the future of our rate limiting platform..

What you’ll do:

• Build Edge systems that combine in-house implementation, open-source software like Envoy proxy, and multiple CDN

Requirements

Department: Data Engineering