Senior Linux HPC Systems Administrator/Engineer

Enterprise Linux Administration:

• Administer, configure, and maintain RHEL environments (specifically RHEL 8 & 9) ensuring stability, performance, and security.
• Provide hands-on support with high-end workstation hardware for scientists, promptly addressing hardware and software issues.

Scientific and HPC Support:

• Offer technical support to scientific users, bridging the gap between research demands and IT infrastructure.
• Leverage any scientific computing experience to optimize system performance and manage specialized applications.
• Assist with management of high-performance compute resources, including experience with Slurm, clustering, and related HPC technologies.

Collaboration and Stakeholder Management:

• Work closely with other technical teams and stakeholders to align IT services with organizational needs.
• Build and maintain strong stakeholder relationships, communicating complex technical concepts.
• Provide in-person support onsite to ensure effective resolution of issues and a high level of customer satisfaction.

Service Management and Process Improvement:

• Utilize ServiceNow for tracking incidents, managing change requests, and ensuring timely resolution of service tickets.
• Implement and follow IT best practices for incident management, performance monitoring, and network troubleshooting.

Additional Technical Duties:

• Manage SSL certificates and configure web servers as needed.
• Monitor and troubleshoot system performance issues, including understanding the impact of GPUs, networking, and other hardware components.
• Handle vendor relationships effectively, coordinating with external partners to resolve issues and optimize service delivery.
• Maintain familiarity with MacOS systems to provide assistance when necessary.

Experienced Senior Linux HPC Systems Administrator/Engineer with enterprise IT experience to manage and support our critical Linux-based infrastructure

This role is critical for managing and supporting our advanced computing environments, which are pivotal to scientific research and high-performance computing (HPC) initiatives.

The position requires hands-on expertise with high-end workstation hardware and scientific applications, as well as a strong background in HPC techniques, including clustering and workload management with tools like Slurm.

The ideal candidate will be proficient in RedHat Enterprise Linux (RHEL 8 & 9) and have experience with scientific and high-performance computing environments, and will also have excellent stakeholder relationship skills and the ability to communicate complex technical concepts effectively to various stakeholders, ensuring our scientists receive top-tier in-person support onsite., * Enterprise IT experience with extensive hands-on expertise in RedHat Enterprise Linux (RHEL), specifically RHEL 8 & 9.

• Proven experience with high-end workstation hardware setups and scientific application support.
• Demonstrated knowledge of scientific computing and experience in high performance compute environments, including experience with Slurm and clustering, is highly desirable.
• Strong troubleshooting skills for both hardware and software issues.

Interpersonal Skills:

• Excellent communication skills with a proven ability to engage and build relationships with stakeholders at various levels.
• Experience working collaboratively with other technical teams to resolve complex problems and drive operational improvements.
• Strong stakeholder relationship building skills and the ability to manage vendor relationships effectively.

Additional Desirable Skills:

• Working knowledge of ServiceNow and its application in incident and service management.
• Familiarity with networking concepts, performance monitoring tools, and GPU technologies.
• Any experience with scientific applications will be a significant advantage.
• Exposure to MacOS environments is useful but not essential.

Onsite Requirement:

• Must be able to work onsite to provide in-person technical support to scientists and ensure optimal system performance.