Senior Software Engineer-Platform
Job Location:
San Francisco, CA - USA
Yearly Salary:
Posted on:
Vacancies:
Job Summary
We are looking for a Senior Platform Engineer with 5 years of experience to own and strengthen the core document processing platform at Reducto. Youll 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. Youll 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
