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Senior Backend / Platform Engineer

Ventureups — United States · Posted ~1 day ago

Senior Full-time Onsite No Visa

Skills

Backend engineering Platform engineering Distributed systems System orchestration Scheduling Production ML infrastructure Database management Cloud infrastructure Deployment On-call operations Scalability System reliability Databases ML infrastructure

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Summary ✨ AI‑Generated

A senior backend and platform engineering position at an early-stage AI company. You will own distributed systems processing very large workloads, improve reliability and performance, optimize production machine-learning infrastructure, and manage databases, deployments, and core platform operations. The role is fully onsite and requires existing US work authorization.

Highlights

Own critical backend and platform infrastructure for a high-scale AI environment, with substantial technical ownership, direct influence on reliability and performance, and opportunities to optimize infrastructure costs.

Description

🚀 Senior Backend/Platform Engineer | San Francisco | 5 days in-office Please note: Visa sponsorship is not available. Applicants must already be authorised to work in the US. US Citizens only. If you’ve built and scaled distributed systems at companies like Stripe, Ramp, Robinhood—or another high-calibre, fast-moving environment—and want to do it again at a breakneck AI startup, this could be a great fit. We’re looking for a Senior Backend/Platform Engineer (5+ years) to own the platform behind an AI product processing tens of millions of pages. You’ll be deep in the work that matters: ⚙️ Scale distributed systems, orchestration & scheduling🚀 Make customer workloads faster and more reliable🤖 Optimise model serving and production ML infrastructure💰 Drive meaningful cloud and compute cost efficiencies🛠️ Own databases, deployments and core platform infrastructure🔥 Take real end-to-end ownership, including on-call What we’re looking for 5+ years in platform/backend engineeringStrong distributed systems experienceFull-stack engineering ability — not pure DevOps/infraExperience scaling infrastructure at a VC-backed startup or similarly high-velocity companyStrong Python (or deep Go/Rust expertise + willingness to switch)Cloud infrastructure + model serving optimisation experience Why now? You’ll be joining a well-funded, high-growth AI infrastructure company backed by leading VCs, with rapid YoY growth and a team of ~75 in San Francisco. The product sits at a critical layer of the AI stack: turning messy documents into structured data that powers AI workflows for customers ranging from startups to Fortune 10 enterprises. If you want serious platform ownership, hard distributed-systems problems, and a front-row seat to AI infrastructure at scale, DM me.