machine learning · cloud · VPC
ABOUT THE ROLE
Join an AI infrastructure team to lead deployments of machine learning software in enterprise customer environments, from cloud VPCs to on-premises infrastructure. You will work directly with customer engineering, 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.
- Partner with customer engineers and senior stakeholders, including through live calls and shared communication channels.
- Diagnose and resolve customer-specific Kubernetes, cloud IAM, and networking issues.
- Build monitoring, telemetry, and automation that turn one-off deployment work into reusable patterns.
- Understand the hardware supporting machine learning models and deploy them on customer-controlled infrastructure.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience in infrastructure engineering, DevOps, or SRE, with relevant experience in the 3 to 10+ year range.
- Deep production expertise with Kubernetes and Terraform, plus experience with AWS, GCP, or Azure, networking, and infrastructure as code.
- Familiarity with Python, Helm, Docker, Linux, GPU infrastructure, and customer deployment tools such as Replicated or KOTS.
- Experience deploying software into customer-controlled environments, such as BYOC or VPC, air-gapped systems, on-premises installations, or customer-managed clusters.
- Clear, structured communication and the ability to troubleshoot live with external engineering teams.
- Infrastructure e