Reducto

AI

ForwardDeployedEngineer,InfrastructureSpecialist

$150–300k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Forward Deployed Engineer, Infrastructure Specialist at Reducto. Skills: Infrastructure deployment, Customer environments, Debugging customer issues. Lead end-to-end deployment. Partner with enterprise IT, security, and platform teams”

What You'll Achieve.

Enterprise performance at scale; Efficient and accurate document workflows; Minimize customer downtime; World-class operational excellence; Scales across the next ten deployments

Industry & Context.

AI
Problems you'll solve

Debugging and resolving customer-specific infrastructure issues end-to-end; Diagnose a problem live; Address reliability problems

Eligibility Requirements

Deployment into customer environments ranging from VPC to bare metal on-prem, Deploying software into environments you don't fully control, This is an in person role at our office in SF, Requires working hard and moving quickly

What They're Looking For.

Must Have

5+ years of hands-on experience operating production infrastructure, meaningful time spent deploying software into environments you don't fully control, comfortable with Python or similar languages, exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, storage technologies, Communicate clearly with external engineers, diagnose a problem live, Build your own tools on the fly to diagnose, experiment, and address reliability problems, quantitative, hands-on approach to system operations, automation, and continuous improvement

Nice to Have

deployed software into regulated environments (financial services, healthcare, legal, insurance) with complex infrastructure, worked with Replicated/KOTS, Helm, or similar enterprise distribution tooling, experience with GPU infrastructure, model serving, or AI/ML workload deployment patterns on customer-controlled hardware, prior experience at an early-stage, high-growth company — as a founder, founding engineer, or early deployment hire, driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving

What You'll Do.

Lead end-to-end deployment

Partner with enterprise IT

Understand hardware for ML models

and phone-home patterns

Debug and resolve customer-specific infrastructure issues

Own incident response for customer deployments

Codify deployment patterns into repeatable runbooks and automation

How You'll Work.

Team & Collaboration

Partner directly with customer infrastructure, security, and platform teams; Collaborative problem-solving

Communication Scope

Communicate clearly with external engineers; Sit in a call with a customer's platform team; Come out with a path forward that both sides trust

Full Job Description

ABOUT REDUCTO Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer. THE OPPORTUNITY As a Forward Deployed Engineer, Infrastructure Specialist you will lead the end-to-end deployment of Reducto into customer environments, ranging from VPC to bare metal on-prem. Each deployment comes with its own hardware, networking, security, and reliability constraints, and you will be the engineer who makes them work. This role sits at the bridge between Reducto and our enterprise customers' infrastructure, security, and platform teams. You will partner directly with those teams to deploy, configure, harden, and operate Reducto inside their environments. This is hands-on execution work with direct customer exposure, not a bottoms-up platform role. THE CORE WORK WILL INCLUDE: - Leading end-to-end deployment of Reducto into customer environments including planning, configuration, testing, and rollout. - Partnering with enterprise IT, security, and platform teams to assess their infrastructure, security posture, and data management practices, and designing deployment strategies tailored to their constraints. - Understanding the hardware that power our in-house ML models so we can successfully deploy them onto customer infrastructure. - Building monitoring, telemetry, and phone-home patterns that give us visibility into customer-controlled environments without compromising their

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