Responsibilities

Architecture ownership. Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls
Platform and on-premises delivery. Work with forward-deployed AI engineers to deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling. Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies. Validate compatibility and recovery within customer change controls
Automation mindset. Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable
Customer relationships and communication. Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early
Production security and reliability. Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners. Establish SLOs, observability, actionable alerts, and tested disaster recovery. Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners. Use incident and deployment data to improve reliability, runbooks, and support handoffs
Hosted infrastructure. Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering
AI runtime infrastructure. Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments
AI-assisted engineering. Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability
Technical leadership. Set delivery standards, mentor engineers, and help build the delivery team's technical practices. Partner with forward-deployed AI and platform engineers to unblock delivery and turn customer lessons into product improvements

Infrastructure Engineer, Customer Delivery at Distyl · LumiJobs

Infrastructure Engineer, Customer Delivery

Responsibilities

Qualification

Required

Benefits

Company

Distyl

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