IT Manager, Platform Research Systems

We are looking for an experienced IT Manager specializing in platform research systems to join our team in Piscataway, New Jersey. This is a contract position offering an exciting opportunity to lead cutting-edge initiatives in high-performance computing and storage environments. The ideal candidate will possess a strong technical background and proven leadership skills to manage complex IT systems and support research-driven technology needs.

Responsibilities:
• Oversee the administration and engineering of IT systems, including hardware, virtualization technologies, and large-scale environments.
• Lead a team of IT professionals, providing guidance and support to ensure successful project execution.
• Manage high-performance computing systems, including Linux at scale, job schedulers, and workload performance optimization.
• Implement and maintain high-performance research storage solutions, including parallel file systems and disaster recovery processes.
• Configure and optimize high-speed interconnects, GPUs, and node provisioning within clustered environments.
• Develop and manage automation and configuration management processes using scripting languages and tools.
• Ensure security best practices are adhered to, including identity integrations, access controls, and vulnerability management.
• Collaborate with researchers, central IT teams, and vendors to address technical needs and challenges.
• Utilize project management skills to plan, execute, and deliver IT initiatives effectively.
• Support container technologies and software environment management for research applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 7 years of experience in IT systems administration or engineering, with expertise in large-scale or clustered environments.
• A minimum of 3 years of leadership experience managing IT teams.
• Proficiency in Linux systems, job scheduling tools, and performance tuning.
• Hands-on experience with high-performance research storage, including parallel file systems and disaster recovery concepts.
• Knowledge of high-speed interconnects, GPUs, and node provisioning in clustered systems.
• Strong skills in automation, configuration management, and scripting for operational support.
• Familiarity with security practices for shared compute and storage services, including identity integrations and patch management.

Compensation

$55.41-$64.16 Hourly

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