VP – AI Infrastructure Engineering

Jobtailor

Bellevue (WA)

On-site

USD 200,000 - 350,000

Full time

5 days ago

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Job summary

Jobtailor is seeking a Senior Infrastructure Leader to Bellevue, WA, driving data center infrastructure bring-up and production readiness. Lead platform lifecycle from hardware to automated provisioning and workload readiness, building scalable automation for bare-metal provisioning and Linux deployment.

You will oversee GPU clusters, Kubernetes environments, and distributed compute infrastructure, establishing standards for servers, GPUs, networking, and firmware.

Qualifications

12+ years of experience across infrastructure, software, systems, platform engineering, or related technical disciplines.
5+ years of engineering leadership experience, including managing and developing highly technical teams
Proven experience building and operating large-scale data center, cloud, HPC, or AI infrastructure
Strong technical understanding of Linux, distributed systems, networking, and infrastructure automation
Hands-on understanding of Kubernetes, containers, and infrastructure-as-code
Demonstrated ability to lead complex infrastructure deployments and bring new environments into production
Ability to operate across hardware and software organizations
Strong communication and cross-functional leadership skills
Hands-on, high-ownership leadership style suited to a fast-moving, build-from-the-ground-up environment
Preferred: experience with GPU infrastructure, NVIDIA platforms, AI or HPC environments

Responsibilities

Lead the engineering organization responsible for data center infrastructure bring-up and production readiness
Own the platform lifecycle from installed hardware through automated provisioning, configuration, validation, and workload readiness
Build and scale automation for bare-metal provisioning, Linux deployment, configuration management, and infrastructure validation
Lead deployment and configuration of GPU clusters, Kubernetes environments, and distributed compute infrastructure
Establish engineering standards for servers, GPUs, networking, storage, firmware, and system configuration
Drive infrastructure automation using Terraform, Ansible, Bash, and similar technologies
Oversee integration with Redfish, IPMI, BMCs, PXE, MAAS, Ironic, Foreman, or comparable platforms
Partner with Network, Hardware/GPU, Data Center Operations, SRE, and Software Engineering teams
Establish automated testing, health checks, monitoring, and validation processes
Improve deployment speed, reliability, automation, scalability, and operational efficiency
Build and develop a highly capable engineering organization and scalable processes

Skills

Infrastructure Automation

Kubernetes Deployment

Linux Systems Management

Engineering Leadership

Data Center Operations

Tools

Terraform

Ansible

Bash

Redfish

IPMI

BMC

PXE

MAAS

Ironic

Foreman

Job description

Lead the engineering organization responsible for data center infrastructure bring-up and production readiness
Own the platform lifecycle from installed hardware through automated provisioning, configuration, validation, and workload readiness
Build and scale automation for bare-metal provisioning, Linux deployment, configuration management, and infrastructure validation
Lead deployment and configuration of GPU clusters, Kubernetes environments, and distributed compute infrastructure
Establish engineering standards for servers, GPUs, networking, storage, firmware, and system configuration
Drive infrastructure automation using Terraform, Ansible, Bash, and similar technologies
Oversee integration with Redfish, IPMI, BMCs, PXE, MAAS, Ironic, Foreman, or comparable platforms
Partner with Network, Hardware/GPU, Data Center Operations, SRE, and Software Engineering teams
Establish automated testing, health checks, monitoring, and validation processes
Improve deployment speed, reliability, automation, scalability, and operational efficiency
Build and develop a highly capable engineering organization and scalable processes

Requirements

12+ years of experience across infrastructure, software, systems, platform engineering, or related technical disciplines
5+ years of engineering leadership experience, including managing and developing highly technical teams
Proven experience building and operating large-scale data center, cloud, HPC, or AI infrastructure
Strong technical understanding of Linux, distributed systems, networking, and infrastructure automation
Hands-on understanding of Kubernetes, containers, and infrastructure-as-code
Demonstrated ability to lead complex infrastructure deployments and bring new environments into production
Ability to operate across hardware and software organizations
Strong communication and cross-functional leadership skills
Hands-on, high-ownership leadership style suited to a fast-moving, build-from-the-ground-up environment
Preferred: experience with GPU infrastructure, NVIDIA platforms, AI or HPC environments
Preferred: bare-metal provisioning technologies such as MAAS, Ironic, xCAT, Foreman, or similar
Preferred: Redfish, IPMI, BMC, PXE, and firmware management
Preferred: CUDA, NVML, DCGM, NVIDIA drivers, or GPU Operator
Preferred: InfiniBand, RoCE, RDMA, or high-speed Ethernet
Preferred: Kubernetes, Slurm, or similar cluster orchestration and scheduling technologies
Preferred: automated infrastructure validation and hardware health testing
Preferred: experience scaling infrastructure across thousands of servers or GPUs
U.S. work authorization required
Visa sponsorship is not currently available
Willingness to relocate if currently outside the Bellevue area

Core Competencies

Demonstrates extensive experience in leading engineering teams focused on data center infrastructure, automation, and deployment processes. Proficient in managing large-scale infrastructure projects, including GPU and cloud environments, while ensuring operational efficiency and scalability.

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