Experience Not stated in the posting - worth applying if the stack matches
About the role
structured by ORIAbout ReductoReducto 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…
What you will do
- Leading end-to-end deployment of Reducto into customer environments including planning, configuration, testing, and rollout.
- Partnering 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.
- 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.
What they are looking for
- 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.
- Are energized by being assigned to a customer problem and owning it end-to-end.
- Build your own tools on the fly to diagnose, experiment, and address reliability problems—whether it's an internal dashboard or an automated remediation workflow.
- Bring a quantitative, hands-on approach to system operations, automation, and continuous improvement.
Nice to have
- Have deployed software into regulated environments (financial services, healthcare, legal, insurance) with complex infrastructure.
- Have worked with Replicated/KOTS, Helm, or similar enterprise distribution tooling.
- Have experience with GPU infrastructure, model serving, or AI/ML workload deployment patterns on customer-controlled hardware.
- Have prior experience at an early-stage, high-growth company — as a founder, founding engineer, or early deployment hire.
- Are driven, ambitious, and deeply care about both technical excellence and collaborative problem-solving.
Benefits
- Unlimited PTO
- Lunch provided daily at the office
- Reimbursed Transportation
- Generous health insurance covering medical, dental, and vision
- Health and Wellness Budget up to $150/mo reimbursement
PythonKubernetesNetworkingStorageCloud PlatformsIncident ResponseTroubleshootingReplicatedKOTSHelm
Full posting text
$200K–$300K; offers equity.