The Staff Software Engineer for the Edge Team at Pinterest will lead efforts to manage automation traffic and shape the future of the rate limiting platform. This role involves building Edge systems that integrate in-house implementations with open-source software and various CDN and DNS providers. The engineer will also focus on designing solutions for managing bots and crawlers at scale while collaborating with internal teams and external vendors. This position emphasizes technical leadership and mentoring within the team.

• 6+ years of experience in infrastructure, networking, or platform engineering with a focus on traffic management systems.
• 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 and aligning cross-functional stakeholders.
• 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.

• Build Edge systems that combine in-house implementation, open-source software, 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 and traffic classification.
• 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 and coaching.
• Use AI to accelerate prototyping, analysis, and operational tasks while ensuring correctness and production-readiness.
• Participate in on-call for Edge systems and drive incident response and reliability improvements.