{"id":11435,"url":"https://alion.io/job/reducto-forward-deployed-engineer-infrastructure-specialist","title":"Forward Deployed Engineer, Infrastructure Specialist","company":{"id":3678,"name":"Reducto","domain":"reducto.ai","url":"https://alion.io/company/reducto","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":33,"ghost_share":0,"stale_share":0.273,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Helm","optional":true},{"name":"OCR","optional":true}],"status":"live","first_seen_at":"2026-05-28T18:28:05Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-20T21:03:46Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":144},"description":"About Reducto\nReducto 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.\nWe’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.\nReducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital, and are hiring a founding Infrastructure Engineer.\nThe Opportunity\nAs 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.\nThis 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.\nThe core work will include:\nLeading end-to-end deployment of Reducto into customer environments including planning, configuration, testing, and rollout.\n\nPartnering 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.\n\nUnderstanding the hardware that power our in-house ML models so we can successfully deploy them onto customer infrastructure.\n\nBuilding monitoring, telemetry, and phone-home patterns that give us visibility into customer-controlled environments without compromising their security posture.\n\nDebugging and resolving customer-specific infrastructure issues end-to-end, like K8s misconfigurations and cloud IAM edge cases, minimizing customer downtime.\n\nOwning incident response for customer deployments with world-class operational excellence.\n\nCodifying what works into repeatable deployment patterns, runbooks, and automation - turning one-off customer work into infrastructure that scales across the next ten deployments.\n\nWe would love to meet you if you:\nAre your own worst critic-have an extremely high bar for quality and always aim for robust solutions rather than quick fixes.\n\nHave 5+ years of hands-on experience operating production infrastructure, with meaningful time spent deploying software into environments you don't fully control. \n\nAre comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies.\n\nCommunicate 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.\n\nAre energized by being assigned to a customer problem and owning it end-to-end. \n\nBuild your own tools on the fly to diagnose, experiment, and address reliability problems-whether it's an internal dashboard or an automated remediation workflow.\n\nBring a quantitative, hands-on approach to system operations, automation, and continuous improvement.\n\nBonus points if you:\nHave deployed software into regulated environments (financial services, healthcare, legal, insurance) with complex infrastructure.\n\nHave worked with Replicated/KOTS, Helm, or similar enterprise distribution tooling.\n\nHave experience with GPU infrastructure, model serving, or AI/ML workload deployment patterns on customer-controlled hardware.\n\nHave prior experience at an early-stage, high-growth company - as a founder, founding engineer, or early deployment hire. \n\nAre driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving.\n\nThis 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.\nAbout Reducto\nNearly 80% of enterprise data is in unstructured formats like PDFs\nPDFs 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.\nTraditional approaches fail at reliably extracting information in complex PDFs\nOCR 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.\nReductobreaks 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:\nAccurately extract text and tables even with nonstandard layouts\n\nAutomatically convert graphs to tabular data and summarize images in documents\n\nExtract important fields from complex forms with simple, natural language instructions\n\nBuild powerful retrieval pipelines using Reducto’s document metadata\n\nIntelligently chunk information using the document’s layout data\n\nBenefits at Reducto\nAt Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:\nUnlimited PTO: We believe great work requires recharging.\n\nLunch: Receive a free lunch to eat with your teammates daily at the office\n\nReimbursed Transportation: Provide us with your receipts and we’ll take care of the costs\n\nInsurance: Generous health insurance covering medical, dental, and vision.\n\nHealth and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.\n\nParental Leave: Work with us to build a leave schedule that works for you and your family\n\nReducto 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.","description_format":"text","description_chars":6928,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Gym membership","Health insurance","Parental leave","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Custom Software Development","AI Development Tools","Document AI"],"lifecycle":[{"event":"open","at":"2026-05-28T18:28:05Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4","filings_12m":4,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":217500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.772,"p_room":0.36,"age_days":144,"expected_fill_days":85,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/reducto-forward-deployed-engineer-infrastructure-specialist","json_url":"https://alion.io/job/reducto-forward-deployed-engineer-infrastructure-specialist.json","meta":{"generated_at":"2026-10-21T00:03:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":87,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3678},"rest":"https://alion.io/mcp/rest/get_company?id=3678"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freducto-forward-deployed-engineer-infrastructure-specialist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Freducto-forward-deployed-engineer-infrastructure-specialist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Freducto-forward-deployed-engineer-infrastructure-specialist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/reducto-forward-deployed-engineer-infrastructure-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freducto-forward-deployed-engineer-infrastructure-specialist"}]}