About the company
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.
Responsibilities
- Build Edge systems that combine in-house implementation, open-source software like Envoy proxy, and multiple CDN & DNS providers.
- 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.
Requirements
- 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.
Conditions
- This position is not eligible for relocation assistance.
- 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.
- Salary range: $177,185 — $364,795 USD, plus equity.