About the Role
We build and operate the software systems that deploy, validate, and manage AI compute clusters across data centers worldwide for the world's fastest AI Inference. Our work turns complex bare-metal infrastructure into repeatable, automated deployment flows spanning server provisioning, network configuration, Kubernetes bring-up, health validation, and operational handoff.
As a Software Engineer on the Cluster Deployment Automation team, you will help build the pushbutton tooling that makes large-scale cluster deployments faster, safer, and more reproducible. This role is designed for new graduates and engineers early in their careers who want to grow through hands-on work with Python, Bash, Ansible, Linux, bare-metal servers, networking equipment, Kubernetes, and observability systems while learning how production AI infrastructure is built and operated at scale.
Responsibilities
- Develop and maintain automation for deployment workflows, including provisioning, configuration, validation, and operational handoff.
- Turn manual deployment steps into tested, repeatable pushbutton workflows.
- Participate in hands-on cluster deployments to build practical debugging and operational expertise.
- Troubleshoot issues across Linux systems, bare-metal servers, networking, storage, Kubernetes, and connectivity.
- Contribute to infrastructure-as-code and GitOps workflows using tools such as Terraform, Ansible, pull requests, and code review.
- Add health checks, observability, dashboards, and validation logic to improve deployment reliability.
- Partner with networking, infrastructure, security, and operations teams to deliver secure and reproducible data center deployments.
Basic Qualifications
- Strong fundamentals in Python and Bash, with the ability to write scripts and small programs.
- Basic Linux experience, including command-line usage, processes, filesystems, and disk troubleshooting.
- Working knowledge of Git, including branching, commits, pull requests, and code review.
- CS, ECE, or related technical degree, or equivalent practical experience.
- Curiosity, strong problem-solving instincts, and willingness to work hands-on with real infrastructure.
Preferred Qualifications
- Networking fundamentals, including VLANs and routing basics; exposure to BGP, switch configuration, or Arista EOS automation is a plus.
- Kubernetes experience or familiarity.
- Infrastructure-as-code and GitOps experience, including Terraform, Ansible, and PR-based change control.
- Bare-metal provisioning concepts such as PXE, DHCP, iPXE, Redfish, IPMI, and BMC management.
- Observability experience with Prometheus or Grafana.
- API design and client-server architecture.
- Automation side projects or open-source contributions.
