Lead Software Engineer, Platform

Lead Software Engineer, PlatformLocation - San Francisco, CA - (On-site, 5 Days Per Week)Compensation - $220,000 – $320,000 Base + Competitive EquityVisa - Visa Sponsorship Available (H-1B Transfers Supported)Company Stage - Series B+ ($100M+ Raised)Industry - Artificial Intelligence, Document Intelligence, AI Infrastructure, Platform Engineering, Distributed Systems, Machine Learning Infrastructure, Enterprise SoftwareAbout the CompanyThe company is building the infrastructure layer that transforms complex, unstructured documents into production-ready structured data for modern AI applications.Its platform powers document understanding across PDFs, spreadsheets, images, scanned documents, and enterprise records, enabling organizations to build reliable AI workflows on top of previously inaccessible data.Backed by Andreessen Horowitz, Benchmark, and First Round Capital with over $100M in funding, the company has experienced more than 8x year-over-year revenue growth and continues to establish itself as one of the fastest-growing AI infrastructure companies in the market.As a Lead Software Engineer, Platform, you'll own the core infrastructure responsible for document processing, distributed orchestration, platform reliability, model serving, and cloud infrastructure while partnering closely with ML engineers and product teams to scale one of the industry's most advanced AI document processing platforms.This is a rare opportunity to join an AI-native infrastructure company where engineers own foundational platform architecture, influence long-term technical strategy, and build systems processing millions of documents for mission-critical enterprise AI workloads.What You'll DoOwn and evolve the core platform powering large-scale document processing workloadsDesign and build highly scalable distributed systems supporting millions of production document processing jobsArchitect platform infrastructure emphasizing reliability, latency, scalability, and operational efficiencyImprove cloud infrastructure, deployment pipelines, orchestration systems, and workload schedulingOptimize model serving infrastructure alongside ML engineering teamsBuild backend platform services using Python while supporting distributed production systemsDesign scalable task orchestration, messaging, caching, and data processing infrastructureImprove platform observability, monitoring, fault tolerance, and operational excellenceLead architecture decisions around distributed systems, cloud infrastructure, and platform scalabilityBuild internal platform tooling that accelerates engineering productivityDrive platform performance, infrastructure cost optimization, and production reliabilityParticipate in platform ownership and on-call rotations while continuously improving system healthCollaborate closely with ML, Product Engineering, Infrastructure, and Leadership to enable rapid product developmentMentor engineers and establish engineering best practices across platform architectureIdeal Candidate BackgroundExperience Requirements5+ years of software engineering experienceExperience building platform infrastructure or distributed backend systemsExperience working at high-growth startups or high-performing technology companiesExperience owning production infrastructure serving customer-facing applicationsExperience designing highly scalable distributed production systemsExperience building mature infrastructure supporting rapidly growing businessesExperience operating production systems with significant uptime and reliability requirementsStrong startup ownership with demonstrated technical leadershipExperience mentoring engineers or leading technical initiatives preferredTechnical RequirementsStrong backend engineering experience with Python (Go or Rust experience also valued)Experience building distributed systems handling high-throughput workloadsExperience designing cloud-native infrastructure and production deploymentsStrong understanding of distributed task orchestration and workload schedulingExperience optimizing production infrastructure for reliability, latency, and cost efficiencyStrong cloud infrastructure expertise across AWS, GCP, or equivalent platformsExperience working closely with machine learning infrastructure and model servingExperience designing scalable backend services and platform APIsStrong software engineering fundamentals across scalability, reliability, concurrency, and distributed architectureFull-stack engineering capability with strong application engineering fundamentals (not purely DevOps)EducationBachelor's degree in Computer Science or another technical discipline from a top engineering program preferredStrong academic background from a Top Computer Science university preferredExceptional candidates with outstanding platform engineering experience consideredSoft SkillsStrong systems thinkingHigh ownership mentalityExcellent technical communicationComfortable operating with ambiguityStrong collaboration skillsStartup mentality with high execution velocityStructured problem solverEngineering leadership mindsetPassion for building highly reliable infrastructureComfortable owning production systems end-to-endCompensation & BenefitsBase Salary: $220,000 – $320,000Competitive Equity PackageVisa Sponsorship Available5 Days/Week On-site in San FranciscoOpportunity to build foundational infrastructure powering enterprise AI applicationsDirect collaboration with Engineering Leadership and FoundersSignificant ownership over platform architecture and technical directionHigh-impact engineering culture with exceptional career growthBacked by Andreessen Horowitz, Benchmark, and First Round CapitalOpportunity to shape one of the fastest-growing AI infrastructure companiesWhy JoinThis is an opportunity to build one of the industry's leading AI infrastructure platforms for document understanding.You'll work at the intersection of distributed systems, cloud infrastructure, machine learning platforms, and AI document processing while architecting the foundational systems enabling enterprise AI workflows at massive scale.As a Lead Software Engineer, Platform, you'll own mission-critical infrastructure, collaborate directly with engineering leadership, and help define the future of AI-powered document intelligence.