Forward Deployed Engineer, Infra

San Francisco, United States
Full-time
Visa Sponsorship

About the role

We are looking for an Infrastructure Engineer with 2–5+ years of experience to own end-to-end deployment of Reducto into enterprise customer environments – from VPC to bare metal on-prem. You'll be the engineer who makes complex deployments work, partnering directly with customer IT, security, and platform teams. This role requires strong technical chops in Kubernetes, networking, and cloud infrastructure, combined with excellent communication skills – you'll be in live channels and on calls with customer engineers and senior leaders. We have a team lead already in place and are looking for both a mid-career engineer and a more junior hire to scale the team.

What you will be doing

  • Leading end-to-end deployment of Reducto into customer environments – planning, configuration, testing, and rollout across VPC and on-prem setups

  • Working directly with enterprise customer teams (e.g., Harvey) – sometimes visiting their offices, communicating in shared channels with their engineers and senior leaders

  • Debugging and resolving customer-specific infrastructure issues like K8s misconfigurations, cloud IAM edge cases, and networking problems

  • Building monitoring, telemetry, and automation – turning one-off customer work into repeatable deployment patterns that scale across future deployments

  • Understanding the hardware powering Reducto's ML models to successfully deploy them onto customer-controlled infrastructure

About Reducto

Reducto is a Series B team in San Francisco, founded in 2023 by Adit Abraham (CEO) and Raunak Chowdhuri (CTO), who met at MIT. Chowdhuri had published computer vision papers with over 100 citations before finishing high school. The company went through YC Winter 2024 and has raised $108M from a16z, Benchmark, First Round, BoxGroup, and YC.

The machine learning team is eight people and reports to the CTO. It runs a mix of in-house models and larger open-source ones, and an ML tech lead role is expected to be filled around the new year. Engineering is in the office five days a week near Union Square and Market, which is intentional at this stage.

Culture signals that hold across every role here: high agency and self-direction, no settling for 90%, and attention to detail that matters concretely. In document parsing a comma versus a period turns $20,000 into 20.000, so sloppy work is a real red flag. Engineers are expected to hold technical conversations with enterprise customers, not just stay in the code.

Required skills

Python
Kubernetes
Helm
Terraform
AWS
GCP
Azure
Docker
GPU Infrastructure
Replicated/KOTS
Linux
Networking
Cloud IAM

Other roles at Reducto

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Job details

Salary

$200,000 - $300,000

Location

San Francisco, United States

Experience

2+ years

Company

NameReducto
IndustryAI
Team Size75

Funding

Total raised

$108M

Last stage

Series B

Investors

Andreessen Horowitz
Benchmark
First Round Capital
BoxGroup
Y Combinator

Founders

Adit Abraham

Adit Abraham

LinkedIn
Raunak Chowdhuri

Raunak Chowdhuri

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.