Member of Technical Staff, Infrastructure & Scaling

At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in both San Francisco and Palo Alto, CA. Our organization is flat; our team is small and talent dense. We want to talk to you if you are someone who can bring us closer to living our aspirational values: Own customer impact - It’s on us to ensure real-world outcomes for our customers. Obsess over craft - Perfect every detail because quality compounds. Accelerate change - Ship fast, adapt faster, and move frontier ideas into production. Create win-wins - Creatively turn trade-offs into upside. Make high-conviction bets - Try and fail. But succeed an unfair amount. Job: You will build, operate, and scale our infrastructure, including our infrastructure around large language models, and ensure that our systems are reliable and cost-efficient as we grow. You will anticipate bottlenecks before they appear, ensure that our architecture evolves to meet increasing demands, and build the tools and systems that keep engineering velocity high. You: Have deep intuition on distributed systems, cloud platforms, performance tuning, and scalable architecture. You like to reason about trade-offs between cost, reliability, and speed of iteration. You care about your work enabling every team to build faster and ship confidently, and about infrastructure that can support products used by millions without breaking a sweat. Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others. #J-18808-Ljbffr Parallel Web Systems