Staff Software Engineer, Edge

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 & DNS providers. Balance what to build, what to leverage from the community, and what to orchestrate across vendors.
• Drive automation traffic management efforts in the Edge space, designing solutions to manage bots and crawlers at scale.
• Design and implement request processing logic in Envoy to support Edge capabilities such as routing, traffic classification, and enforcement. Write, review, and maintain code written in C++, Golang, and Python.
• Collaborate with CDN vendors and internal platform teams to define integration points.
• Study internal user pain points with the rate limiting platform and translate findings into a prioritized roadmap.
• Mentor engineers within the team and demonstrate technical leadership through design reviews, pairing, and coaching.
• Use AI to accelerate prototyping, analysis, and operational tasks, while applying engineering judgment to verify correctness and production-readiness
• Participate in oncall for Edge systems and drive incident response, post-mortems, and reliability improvements.

What we’re looking for

• 6+ years of experience in infrastructure, networking, or platform engineering, with a deep focus on traffic management systems (CDN, HTTP gateways, service mesh, or load balancing).
• Experience with bot detection, scraping prevention, or automation traffic management systems is a plus.
• Proficiency in C++, Golang, or Python, with experience developing L7 HTTP proxies such as Envoy, Nginx, Varnish, and Traefik.
• Deep understanding of network protocols across L3-L7 and hands-on experience debugging production networking issues at scale.
• Experience gathering requirements from internal users, aligning cross-functional stakeholders, and delivering credible technical plans.
• Proven ability to design distributed systems architectures and drive them from proposal through proof of concept to production.
• Demonstrated experience using AI to accelerate engineering workflows (design exploration, code generation, operational analysis), with a clear approach to validating correctness and quality.
• Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• Relocation Statement: This position is not eligible for relocation assistance. Visit our
• PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration
• 1-2 times every 6-months and therefore can be situated anywhere in the country.
• #LI-REMOTE
• #LI-KBF

Pay and benefits

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.