Build and maintain automation tooling for large-scale AI compute cluster deployments, turning bare-metal infrastructure into repeatable, pushbutton workflows using Python, Ansible, Terraform, Kubernetes and observability tools. Ideal for new graduates or early-career engineers seeking hands-on production infrastructure experience.
Salary not listed
On-siteEntry levelDevOps / SRE
About the role
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.
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