[Remote] Staff Software Engineer, Edge

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that helps people discover creative ideas and plan for meaningful experiences. The Staff Software Engineer will lead automation traffic management at the Edge, designing and implementing systems for bots, crawlers, routing, traffic classification, and rate limiting. The role also involves technical leadership, cross-functional collaboration, on-call support, and reliability improvements.

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

Skills

• 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

Benefits

• The position is also eligible for equity.
• Flexible working model with in-office collaboration required 1-2 times every 6 months.
• Mentorship, pairing, and coaching opportunities.

Company Overview

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