{"id":11440,"url":"https://alion.io/job/reducto-lead-software-engineer-platform","title":"Software Engineer, Platform","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":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","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":325000,"currency":"USD","period":"year","gross":null,"usd_annual":325000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2025-12-28T19:11:59Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-17T23:20:12Z","board_verified":true,"closed_at":null,"days_open":293,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":292},"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.\nThe Opportunity\nAs a Software Engineer on Platform, you’ll own the infrastructure behind Reducto’s core API: the systems that make document understanding fast, reliable, and cost-efficient at scale. You’ll work across Python services, queues, model-serving paths, Kubernetes/container infrastructure, observability, and developer tooling to make Reducto’s platform increasingly bulletproof as usage grows.\nThis is a high-leverage infra role. The ideal person has built and operated real production systems, cares deeply about latency/reliability/cost, is comfortable leading technical direction for a small team, and uses modern LLM coding tools fluently to move faster.\nWe would love to meet you if you:\nHave 5+ years building, hardening, and scaling production backend/platform systems.\n\nHave hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work.\n\nAre strong in Python, or deeply expert in another backend language and excited to work primarily in Python.\n\nHave used Terraform/IaC, containerized deployments, and production debugging workflows.\n\nAre highly fluent with LLM coding tools such as Claude Code, Codex, Cursor, or similar, and use them as part of your daily engineering loop.\n\nHave led projects or small teams, raised engineering quality, and can communicate clearly with founders, engineers, and occasionally customers.\n\nThe core work will include:\nScaling Reducto’s core API and document processing pipelines for higher throughput and lower latency.\n\nReducing infrastructure and model-serving costs without sacrificing quality or reliability.\n\nImproving Kubernetes/containerized deployment workflows, observability, alerting, and operational safety.\n\nBuilding internal tooling, evals, and debugging workflows that help engineers find and fix failures quickly.\n\nPartnering with ML/backend engineers to optimize LLM/model-serving paths in production.\n\nActing as a technical lead for platform/backend projects as the team grows.\n\nBonus points if you:\nHave built infrastructure at an early-stage or high-growth startup.\n\nHave worked on AI infrastructure, model-serving, agent platforms, developer tools, or high-throughput APIs.\n\nHave meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization.\n\nAre comfortable talking with customers or translating customer pain into platform improvements.\n\nKeep up with modern AI/LLM tooling and actively use it to improve your engineering workflow.\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.\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. 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