Staff Software Engineer, Edge
Pinterest- Base salary
- $177k–$365k Published base salary range · Top quartile for Engineering (395 listings)
- Location
- Hybrid - US, 1-2 days in office every 6 months Remote eligibility
- Employment
- Full-time Staff / Principal
Role skills
Apply on pinterestcareers.com
About the job
About the role
The Edge team owns the systems (CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We are looking for a Staff Software Engineer to lead efforts to manage automation traffic (bots and crawlers) at the Edge and shape the future of our rate limiting platform.
What you'll do
- Build Edge systems combining in-house implementation, open-source software like Envoy proxy, and multiple CDN & DNS providers.
- Drive automation traffic management efforts, designing solutions to manage bots and crawlers at scale.
- Design and implement request processing logic in Envoy to support routing, traffic classification, and enforcement.
- Write, review, and maintain code 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 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.
- 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 debugging of 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.
- Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
Compensation & benefits
Base salary range: $177,185—$364,795 USD. The position is also eligible for equity. Final salary is based on factors including location, travel, relevant prior experience, or particular skills and expertise.
Application
Apply via the Pinterest careers page for this role.
Skills & tags
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