Staff Software Engineer, Edge

Pinterest is a platform that inspires creativity and innovation. They are seeking a Staff Software Engineer for the Edge team to lead automation traffic management and enhance their rate limiting platform.

Responsibilities:

• 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

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)
• 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
• Experience with bot detection, scraping prevention, or automation traffic management systems is a plus