About the Role

Join an AI infrastructure team to lead end-to-end software deployments in enterprise customer environments, from cloud VPCs to on-premises hardware. You will work directly with customer engineering teams to make complex deployments reliable, secure, and repeatable.

What You'll Do

Plan, configure, test, and roll out deployments in customer cloud and on-premises environments.

Partner with customer IT, security, and platform teams, including through live technical discussions and occasional office visits.

Diagnose and resolve infrastructure issues involving Kubernetes configuration, cloud IAM, networking, and related systems.

Build monitoring, telemetry, and automation that turn deployment-specific work into reusable patterns.

Understand the hardware requirements of machine learning workloads and deploy them on customer-controlled infrastructure.

What We're Looking For

At least 3 years of experience in infrastructure engineering, DevOps, or SRE.

Deep production experience with Kubernetes and Terraform, plus cloud platforms such as AWS, GCP, or Azure.

Experience with networking, infrastructure as code, Linux, Docker, Helm, and cloud IAM.

Background deploying software into customer-controlled environments, such as BYOC or VPC deployments, air-gapped systems, on-premises installations, or customer-managed clusters.

Ability to communicate clearly, structure technical explanations, and diagnose issues live with external engineering teams.

Experience in a startup or high-growth environment, with evidence of strong technical ownership and consistent role tenure.

GPU infrastructure experience and familiarity with deployment tools such as Replicated or KOTS are relevant.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.