Infrastructure Engineer, Customer Deployment

Reducto

San Francisco, CA

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JOB DETAILS

SKILLS

Artificial Intelligence (AI), Automation, Benchmarking, Billing, Budgeting, Cloud Computing, Communication Skills, Computer Security, Continuous Improvement, Debugging Skills, Documentation, Enterprise Protection, Financial Services, Financial Statements, Fitness, GPU (Graphics Processing Unit), Healthcare, Healthcare Reimbursement, Identify Issues, Incident Response, Insurance, Insurance Claims, Legal, Machine Tool, Medical Records, Multiplatform/Cross-Platform, Network Security, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, Revenue Growth, Security Information and Event Management (SIEM), Security Infrastructure, System Operations, Team Lead/Manager, Team Player, Telemetry, Testing

LOCATION

San Francisco, CA

POSTED

1 day ago

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 fromworld-class investors including a16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer.

The Opportunity

As a Infrastructure Engineer, 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 security posture.
Debugging and resolving customer-specific infrastructure issues end-to-end, like K8s misconfigurations and cloud IAM edge cases, minimizing customer downtime.
Owning incident response for customer deployments with world-class operational excellence.
Codifying what works into repeatable deployment patterns, runbooks, and automation - turning one-off customer work into infrastructure that scales across the next ten deployments.

We would love to meet you if you:

Are your own worst critic-have an extremely high bar for quality and always aim for robust solutions rather than quick fixes.
Have 5+ years of hands-on experience operating production infrastructure, with meaningful time spent deploying software into environments you don't fully control.
Are comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies.
Communicate clearly with external engineers. You can sit in a call with a customer's platform team, diagnose a problem live, and come out with a path forward that both sides trust.
Are energized by being assigned to a customer problem and owning it end-to-end.
Build your own tools on the fly to diagnose, experiment, and address reliability problems-whether it's an internal dashboard or an automated remediation workflow.
Bring a quantitative, hands-on approach to system operations, automation, and continuous improvement.

Bonus points if you:

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

This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

Accurately extract text and tables even with nonstandard layouts
Automatically convert graphs to tabular data and summarize images in documents
Extract important fields from complex forms with simple, natural language instructions
Build powerful retrieval pipelines using Reducto's document metadata
Intelligently chunk information using the document's layout data

Benefits at Reducto

At Reducto, we're invested in the well-being and growth of our team. Here's what we currently offer:

Unlimited PTO: We believe great work requires recharging.
Lunch: Receive a free lunch to eat with your teammates daily at the office
Reimbursed Transportation: Provide us with your receipts and we'll take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision.
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

About the Company

Reducto

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