Senior Linux HPC Systems Engineer

• Must be able to work a hybrid work schedule in Oak Ridge, TN
• Must be eligible to obtain a federal security clearance (US Citizen)

Major Duties/Responsibilities:

1. Advocate and promote HPC and clustered computing services to researchers who process large data sets and/or develop code as a part of their project.

1. Ensure the availability, performance, scalability, and security of production systems.

2. Leverage automation and monitoring solutions that minimize our day-to-day maintenance and scout opportunities to optimize system management practices or system performance.

3. Collaborate with technical POCs for the programs that we support to install and help tune the performance of various scientific toolsets.

4. Optimize both workflows and monitoring solutions to take advantage of our 24/7 operations staff, which significantly reduces the need for off-hours support. We use Email, Jira, Confluence, Teams, Slack, and other collaboration solutions to stay in contact.

5. Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

1. A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12) years of aligned professional experience is required for consideration. An overall combination of equivalent education and experience may be considered.

• Masters' holders should have a minimum of seven (7) to ten (10) years of relevant and aligned experience.

• PhD holders should have a minimum of four (4) to six (6) years of relevant and aligned experience.

• Five (5) or more years with managing UNIX/Linux Systems.

• Three (3) or years of proven experience with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet.

• Moderate proficiency in at least one scripting language such as Bash, Python, or others.

• Experience performing advanced troubleshooting and system administration with Linux Servers.

• Experience supporting large data systems.

• A strong desire to innovate and identify new technologies and opportunities and be able to communicate the potential benefits of those choices to others within the team and our research partners.

• A collaborative and upbeat approach to thrive on the opportunity to build trust and credibility and ultimately become a trusted advisor to our research teams.

Preferred Qualifications:

1. Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance is heavily preferred for consideration.

1. Solid understanding of multiple operating systems and cluster technologies.

2. Experience with Rocky/Centos/RHEL, Ubuntu, VMware.

3. Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting.

4. Experience building and running containerized applications in an HPC environment.

5. Experience with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright).

6. Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing.

7. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network diagnostics.

8. Experience with Infiniband networks and diagnostics.

9. Extensive experience with High Performance Parallel File Systems (Lustre, WEKA, GPFS, etc).

10. Experience with performance and diagnostic tools for benchmarking, analysis and tuning of systems, networking, and storage.

11. Experience with Grafana, CheckMK, Nagios, Zabbix, SolarWinds, Ganglia, or other network and device monitoring systems.

12. Previous experience working in a government, scientific or other highly technical environment.

13. Good documentation skills, including ability to prepare simple documentation web pages.