Job
Description
The role is responsible for the design, integration, and management of high performance computing (HPC) systems encompassing both hardware and software within the organization's network infrastructure. This individual manages system administration and supports business platforms while incorporating new technologies in a sophisticated, evolving technology landscape. The role ensures seamless system integration to meet organizational requirements. Roles & Responsibilities: Implement and manage cloud-based infrastructure supporting HPC environments for data science (e.g., AI/ML workflows, Image Analysis) Collaborate with data scientists and ML engineers to deploy scalable machine learning models into production Ensure security, scalability, and reliability of HPC systems in the cloud Optimize cloud resources for cost-effectiveness and efficiency Stay updated on latest cloud services and industry best practices Provide technical leadership and guidance on cloud and HPC systems management Develop and maintain CI/CD pipelines for multi-cloud resource deployment Monitor and troubleshoot cluster operations, applications, and cloud environments Document system design and operational procedures What We Expect of You We value diverse talents united by the goal of serving patients. We seek a professional with the following qualifications: Basic Qualifications: Master's degree with 4-6 years of hands-on HPC administration experience in Computer Science, IT, or related field OR Bachelor's degree with 6-8 years of hands-on HPC administration experience OR Diploma with 10-12 years of hands-on HPC administration experience Demonstrated expertise in cloud computing (preferably AWS) and cloud architecture Experience with containerization (Singularity, Docker) and cloud HPC solutions Proficiency with infrastructure-as-code (IaC) tools like Terraform, CloudFormation, Packer, Ansible, Git Expert scripting skills (Python or Bash) and Linux/Unix system administration (Red Hat or Ubuntu preferred) Experience with job scheduling/resource management tools (SLURM, PBS, LSF) Knowledge of storage architectures and distributed file systems (Lustre, GPFS, Ceph) Understanding of networking architecture and security best practices Preferred Qualifications: Experience supporting healthcare life sciences research Experience with Kubernetes (EKS) and service mesh architectures Knowledge of AWS Lambda and event-driven architectures Exposure to multi-cloud environments (Azure, GCP) Familiarity with ML frameworks (TensorFlow, PyTorch) and data pipelines Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) Experience in Agile development environments Experience with distributed computing and big data technologies (Hadoop, Spark) Professional Certifications: Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC) (preferred) AWS Certified Solutions Architect Associate or Professional (preferred) Soft Skills: Strong analytical and problem-solving skills Effective communication and collaboration with global, virtual, and cross-functional teams Ability to work in fast-paced, cloud-first environments
