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As Reducto's Infrastructure Engineer for Customer Deployments, 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.
Job Responsibility:
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
owning incident response for customer deployments with world-class operational excellence
codifying what works into repeatable deployment patterns, runbooks, and automation — turning one-off customer work into infrastructure that scales across the next ten deployments
Requirements:
5+ years of hands-on experience operating production infrastructure, with meaningful time spent deploying software into environments you don't fully control
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
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
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
What we offer:
Unlimited PTO
Lunch
Reimbursed Transportation
Generous health insurance covering medical, dental, and vision
Health and Wellness Budget up to $150/mo reimbursement for health and wellness spending