Job Summary
Qualcomm seeks a Senior Data Center Operations Engineer to administer and support Cloud AI data center environments. The role involves hands-on management of MAAS, virtual machines, server operating systems, and operational infrastructure to ensure reliable deployment, provisioning, and maintenance of systems supporting Cloud AI workloads.
Responsibilities
- Administer MAAS servers including deployment configuration, bare-metal provisioning, image management, and troubleshooting of provisioning issues
- Provision, configure, and support virtual machines with compute, memory, storage, and network resource allocation
- Install, patch, maintain, and troubleshoot server operating systems across bare-metal and virtualized environments
- Troubleshoot server hardware, operating system, provisioning, VM, storage, and infrastructure issues, escalating and supporting resolution to closure
- Coordinate with HUMAIN, internal Qualcomm teams, and vendors to support deployments, maintenance, incident response, and operational follow-up
- Maintain accurate system inventory, deployment records, configuration information, and operational documentation
- Develop and maintain runbooks, checklists, and troubleshooting procedures for MAAS, VM provisioning, and infrastructure support
- Contribute to improvements in monitoring, alerting, ticketing, and operational workflows to reduce repeat issues
Must haves
- Hands-on experience administering MAAS or similar bare-metal provisioning platforms, including deployment, image management, and troubleshooting
- Experience provisioning, configuring, and supporting virtual machines, including resource allocation and operational support
- Strong Linux or server operating system administration experience, including installation, patching, maintenance, and troubleshooting
- Ability to diagnose infrastructure incidents involving compute, storage, operating systems, provisioning workflows, and virtualization layers
- Working knowledge of data center server hardware, storage coordination, networking basics, and operational support processes
- Associate or Bachelor’s degree in Electrical Engineering, Information Systems, Computer Science or related field with 6+ years of experience, OR 3+ years of IT-related work experience with a Bachelor’s degree, OR 5+ years of IT-related work experience without a Bachelor’s degree
Nice to haves
- Experience designing or operating large-scale AI inference platforms
- Proficiency in Python, Bash, or similar scripting languages for automation
- Industry certifications such as CompTIA Linux+, CCNA, CDCP, or equivalent demonstrated expertise
- Familiarity with hybrid cloud or cloud-adjacent architectures
What the company offers
- Salary including housing and transport allowance
- Performance related bonus
- 16 weeks fully paid Maternity Leave and 6 weeks fully paid Paternity Leave
- Employee stock purchase scheme, Child Education Allowance, and Life and Medical Insurance
- Relocation and immigration support if needed
We refresh listings regularly, but some roles close early on the source platform.
Country: Saudi Arabia
City: Riyadh
Job Category: Information Technology
Workplace type: On-site
Job Type: Full Time
Company Name: Qualcomm
Seniority level: Mid-Senior level
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