[Remote] Staff Software Engineer, Edge
Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform where millions find creative ideas and plan for lasting memories. They are seeking a Staff Software Engineer for the Edge team to lead automation traffic management efforts and shape the future of 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
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
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