cloud · VPC
ABOUT THE ROLE
Join an AI infrastructure team and own end-to-end deployments into enterprise customer environments, from cloud VPCs to on-premises infrastructure. You will partner directly with customer IT, security, and platform teams to make complex deployments reliable and repeatable.
WHAT YOU'LL DO
- Plan, configure, test, and roll out deployments across customer VPC and on-premises environments.
- Work directly with customer engineering and leadership teams, including through shared channels and occasional on-site visits.
- Diagnose and resolve customer-specific infrastructure issues involving Kubernetes configuration, cloud IAM, and networking.
- Build monitoring, telemetry, and automation that turn one-off deployment work into reusable patterns.
- Understand the hardware used for machine learning workloads and deploy models on customer-controlled infrastructure.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience in infrastructure engineering, DevOps, or SRE.
- Deep production expertise with Kubernetes and Terraform, plus hands-on experience with AWS, GCP, or Azure.
- Knowledge of networking, infrastructure as code, Docker, Linux, and cloud IAM.
- Experience deploying software into customer-controlled environments, such as VPC, air-gapped, on-premises, or customer-managed Kubernetes environments.
- Ability to communicate clearly and troubleshoot issues live with external engineering teams.
- Experience with GPU infrastructure and tools such as Helm or Replicated/KOTS is relevant.
COMPENSATION & BENEFITS
Base salary: $200,000 to $300,