Senior Scientific Computing Support Engineer

The Senior Scientific Computing Support Engineer will be responsible in the design, deployment, documentation, system administration and maintenance of High-Performance Computing (HPC) systems, overall computing environment and moderately complex software applications. They will lead and assist with projects that have an operational impact on the overall enterprise and information technology service. And provide direct support to existing and perspective u of cluster computing resources to include but not limited to programming, scheduling, installations and troubleshooting.

Applicants must have experience with High Performance Computing systems including workload managers such as LSF and high-performance parallel file systems, system administration of administrating Linux (Red Hat/Centos) servers, open-source software installation, scripting languages such as Python, networking and network interconnects such as InfiniBand, and be proficient working primarily in a Llinux command line interface.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Required Skills & Experience

Bachelor's Degree is required (Masters is preferred).
5+ years of Managing Linux Compute Clusters (preferably Infiniband-based)
Knowledge of scripting/programming languages such as BASH, Python, etc.
Experience with cloud-based solutions in AWS, Azure, or GCP, and integrating those tools with on premise resources.
Experience configuring and managing cluster scheduling software like LSF

Nice to Have Skills & Experience

RedHat Linux is preferred.
RHCSA/RHCE is preferred

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.