Forward Deployed Engineer, Infrastructure Specialist

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, and are hiring a founding Infrastructure Engineer. The Opportunity As 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. This 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. The core work will include: Lead [... source excerpt omitted ...] practices, and designing deployment strategies tailored to their constraints. Understanding the hardware that power our in-house ML models so we can successfully deploy them onto customer infrastructure. Building monitoring, telemetry, and phone-home patterns that give us visibility into customer-controlled environments without compromising their security posture. Debugging and resolving customer-specific infrastructure issues end-to-end, like K8s misconfigurations and cloud IAM edge cases, minimizing customer downtime. Owning incident response for customer deployments with world-class operational excellence. Codifying what works into repeatable deployment patterns, runbooks [... source excerpt omitted ...] 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 operating production infrastructure, with meaningful time spent deploying software into environments you don't fully control. Are comfortable with Python or similar languages, and exceptional at working across cloud platforms, container orchestration (e.g., Kubernetes), networking, and storage technologies. Communicate 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. Are energized by being assi