Staff Software Engineer, Edge
Staff Software Engineer leading automation traffic management (bots/crawlers) and rate limiting at Pinterest's Edge (CDN, TLS, DNS, proxies). Design/implement Envoy-based L7 logic in C++/Go/Python; own roadmap, mentor, and drive reliability for 600M+ user platform.
About the job
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.
Skills
C++, Go, Python, Envoy, Nginx, Varnish, Traefik, Cdn, DNS, Rate Limiting, L7 Http Proxies, Network Protocols L3-L7, Distributed Systems
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