Job Description
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.
