Senior Software Engineer-Platform

We are looking for a Senior Platform Engineer with 5+ years of experience to own and strengthen the core document processing platform 'll be someone who has seen what mature systems look like at scale – ideally at companies like Stripe, Ramp, or Robinhood – and is ready to bring that expertise to a fast-growing AI startup. This role is about making the nuts and bolts work beautifully: ensuring customer jobs run fast and reliably, optimizing how models are served, and driving cost efficiency across distributed systems.

You'll work closely with ML engineers and take on‑call responsibility as part of a small, high‑impact platform team.

• Owning and improving the core platform that runs customer document processing jobs – ensuring speed, reliability, and cost efficiency at scale
• Working with ML teams to figure out how to serve in‑house models efficiently and integrate them into production pipelines
• Building and maintaining infrastructure including databases, task orchestration, workload scheduling, and cloud deployments
• Driving improvements to distributed systems – tackling latency, reliability, and scaling challenges as volume grows
• Participating in on-call rotations and taking ownership of platform health end‑to‑end

Python

5+ years of experience in platform/backend engineering with distributed systems

• Owned and scaled core infrastructure at a VC-backed startup or fast‑paced, reputable company (no slower than FAANG).
• Must have Staff/Principal title or fast promotion trajectory if at larger company.
• Seed to Series B startup experience.

Top CS program (Stanford, MIT, CMU, etc.) is a bonus signal

• Full‑stack proficiency, not a pure infra/devops engineer
• Distributed systems, task orchestration, and platform reliability at scale
• Python proficiency (or deep expertise in Go/Rust with willingness to switch)
• Cloud infrastructure and model serving optimization experience

Comfortable with on‑call responsibilities