Lead efforts in managing automation traffic at the Edge for Pinterest, shaping the future of the rate limiting platform.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Joblaze summary
The Staff Software Engineer on the Edge team at Pinterest focuses on developing and managing systems that connect over 600 million users, specifically targeting automation traffic management and rate limiting solutions. Key skills include proficiency in C++, Golang, and Python, along with experience in traffic management systems and distributed architectures. This role is ideal for seasoned engineers with a strong background in infrastructure and networking, particularly those who have worked with bot detection and HTTP proxies. The position emphasizes collaboration and mentorship within a dynamic team environment.
Quick facts
- Is the Staff Software Engineer, Edge role remote?
- It's hybrid — Pinterest expects some on-site time in Palo Alto, CA, US; Remote, US.
- What's the salary range?
- Pinterest lists $177,185–$364,795 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Staff Software Engineer, Edge role.
- Where is the role based?
- Pinterest is hiring for this position in Palo Alto, CA, US; Remote, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Envoy, Golang, Nginx, Python, Traefik.
- What seniority level is this role?
- Pinterest targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer, Edge role at Pinterest.
From the original posting
Job Title: Staff Software Engineer, Edge Team.
Intro: The Edge team owns the systems (including CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We're looking for a Staff Software Engineer to lead our efforts to manage automation traffic (such as bots and crawlers) at the Edge, while shaping the future of our rate limiting platform..
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.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
US based applicants only
$177,185—$364,795 USD
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.