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Infrastructure Engineer

Reducto · San Francisco Office · Active · Ashby

Job facts

FieldValue
CompanyReducto
TitleInfrastructure Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Reducto.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyReducto
Source4fcae8d4-6382-4b8f-b74a-d531b785a129
ATS providerAshby

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. The Opportunity As an Infrastructure Engineer at Reducto, you will influence every aspect of our infrastructure from the ground up. You will architect and scale resilient systems for AI and ML workloads, automate cloud infrastructure, and implement monitoring and incident response practices that set the standard for reliability. This role requires technical leadership, hands-on systems engineering, and strong collaboration with our founders and product teams as we build a company around reliability, rapid iteration, and high-impact product delivery. The core work will include: Designing, building, and maintaining highly available, scalable infrastructure to support intensive AI/ML workloads and real-time model deployments. Implementing robust monitoring, alerting, and observability systems to ensure system health, performance, and uptime across cloud and on-prem environments. Debugging, optimizing, and automating infrastructure for fast iteration and rapid deployment cycles, focusing on both reliability and developer velocity. Proactively identifying, investigating, and resolving incidents to minimize downtime and maintain world-class service levels for enterprise customers. Collaborating closely with engineers, ML specialists, and founders to shape product, infrastructure, and security strategies. 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 in building or supporting production-grade infrastructure and reliability processes for high-throughput systems. Are comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies. 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 prior experience founding a company or building products/infrastructure in early-stage, high-growth environments. Are excited about automating incident management processes with LLMs/AI. Are driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving. Keep up with the latest trends in cloud, observability, and SRE best practices. Are passionate about open-source and have contributed tools or automation to reliability communities. Have built or optimized monitoring, incident response, or high-performance computing systems for demanding AI/ML, fintech, or enterprise clients. 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. Benefits at Reducto 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.

Full job record

Job ID75b9de8727e1e882c2b0db466b1e2855abc13fe9
Org ID5a4cef4e-97ee-4e91-a70a-85291173e376
Source ID4fcae8d4-6382-4b8f-b74a-d531b785a129
Board ID4fcae8d4-6382-4b8f-b74a-d531b785a129
Providerashby
Provider Job Keyd5e36da9-f070-4368-8188-77cb37d57bf3
TitleInfrastructure Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco Office
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/reducto/d5e36da9-f070-4368-8188-77cb37d57bf3
Apply URLhttps://jobs.ashbyhq.com/reducto/d5e36da9-f070-4368-8188-77cb37d57bf3/application
First Seen At2026-05-29 05:50:41Z
Last Seen At2026-06-06 20:13:27Z
Last Checked At2026-06-06 20:13:27Z
Last Changed At2026-05-29 05:50:41Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=reducto/date=2026-06-06/2026-06-06T20-13-23-479Z-46ce094f466e265583630f443f2b4749578f1b34dcc634aa8064ec8f78685af8.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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