DevOps Engineer - GPU-Accelerated Computing Platform

About the Role

We are seeking a DevOps Engineer to join our team at Drexel University, focusing on a GPU-accelerated computing platform. This DevOps Engineer remote position offers an exciting opportunity to work on cutting-edge technology, particularly in AI model training, while collaborating with a dynamic team.

What You'll Do

• Develop and maintain automation for provisioning, configuring, and managing the cluster using tools like Ansible and Kubernetes.
• Contribute to the Kubernetes platform layer, focusing on networking, storage integration, and security policies.
• Assist in building out storage infrastructure, including iRODS and Globus for data transfer.
• Troubleshoot issues across the stack, from bare-metal boot problems to container orchestration bugs.
• Write and maintain operational and user-facing documentation.
• Coordinate with Drexel’s IT teams on shared infrastructure concerns.
• Contribute to web application development for a user-facing portal for project management.

Requirements

• Minimum of a Bachelor's Degree in Computer Science, Engineering, or a related field.
• 1–3 years of experience in DevOps or related fields.
• Experience with Linux systems administration and configuration management.
• Proficient in at least one scripting language (Python, Bash).
• Strong written communication skills and ability to work independently in a remote setting.

Nice to Have

• Experience with Kubernetes and bare-metal provisioning.
• Familiarity with Ansible, Warewulf, RKE2, and Kubeflow.
• Web application development experience.
• Experience in an academic or research computing environment.

What We Offer

• Competitive salary ranging from $90,430 to $135,640 per year.
• Fully remote work environment.
• Opportunity to work on innovative projects in AI and computing.
• Supportive team culture with opportunities for professional growth.
• Access to Drexel’s comprehensive benefits package.