Cloud Systems Engineer
About The Position
We are seeking a Cloud Systems Engineer to support and operate large-scale AI and high-performance computing (HPC) environments. This role will be responsible for the deployment, maintenance, performance, and lifecycle management of GPU-accelerated compute infrastructure that powers critical AI, machine learning, and data-intensive workloads. The ideal candidate is a hands-on infrastructure professional with strong Linux administration skills, deep hardware troubleshooting experience, and expertise supporting enterprise-class compute platforms. This individual will work closely with infrastructure, networking, storage, and AI engineering teams to ensure the reliability, scalability, and operational excellence of our AI infrastructure.
Requirements
- Bachelor’s degree required
- 3-5 years of Linux systems administration experience in production environments.
- 3-5 years of experience supporting enterprise server infrastructure.
- Experience supporting large-scale compute environments, HPC platforms, AI infrastructure, or GPU-enabled systems.
- Experience performing hardware diagnostics, firmware management, and lifecycle maintenance.
- Experience working within datacenter operations environments.
- Bash, Python, PowerShell, or similar scripting languages
- Operating system performance tuning and monitoring
- Storage and networking fundamentals
- Experience with infrastructure monitoring and observability platforms, ex Grafana.
- Hardware and firmware lifecycle management
Responsibilities
- Deploy, configure, and maintain GPU-accelerated compute infrastructure.
- Manage operating system, firmware, BIOS, BMC, driver, and software lifecycle updates.
- Monitor system health, performance, utilization, and capacity across AI infrastructure environments.
- Support infrastructure utilized for AI model training, inference, and data processing workloads.
- Develop and maintain operational standards, runbooks, and maintenance procedures.
- Participate in on-call support and incident response activities.
- Administer enterprise Linux environments, including Ubuntu and Red Hat-based distributions.
- Perform system patching, hardening, and operating system lifecycle management.
- Troubleshoot operating system, kernel, storage, networking, and application-level issues.
- Develop automation to streamline deployment, monitoring, and operational processes.
- Support security and compliance initiatives across AI infrastructure platforms.
- Install, configure, maintain, and troubleshoot enterprise compute hardware.
- Diagnose and resolve issues involving GPUs, CPUs, memory, storage, power, and networking components.
- Perform firmware upgrades and hardware lifecycle management activities.
- Coordinate hardware replacements, vendor support engagements, and warranty services.
- Participate in rack-and-stack deployments, datacenter expansions, and technology refresh projects.
- Maintain accurate asset inventories and operational documentation.
- Support high-performance networking technologies, including Ethernet and InfiniBand environments.
- Collaborate with networking, storage, cloud, and AI engineering teams on infrastructure design and operations.
- Assist with scalability, resiliency, and performance optimization initiatives.
- Perform root-cause analysis of infrastructure failures and develop preventative measures.
- Other duties as assigned.
Benefits
- medical plans with company subsidies
- Health Savings Account (HSA) with a company contribution
- 401(k) with an employer match
- paid vacation that increases with tenure
- paid holidays
- wellness time
- paid maternity and bonding leave
- company-paid disability and life insurance
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
