Job Description
Job Description
We are looking for a Senior Platform Engineer with 5+ years of experience to own and strengthen the core document processing platform at Reducto. You'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.
What you will be doing
- 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
Tech stack:
Python
Seniority:
5+ years of experience in platform/backend engineering with distributed systems
Work experience:
Owned and scaled core infrastructure at a VC-backed startup or fast-paced, reputable company (no slower than FAANG).
If at larger company, must have Staff/Principal title or fast promotion trajectory
Seed to Series B startup experience
Education:
Top CS program (Stanford, MIT, CMU, etc.) is a bonus signal
Hard skills:
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
Miscellaneous:
Comfortable with on-call responsibilities