JOB ROLE: Senior High Performance Computing Engineer

What you will do

Lets do this. Let's change the world. In this vital role you will be responsible for deploying, maintaining and supporting HPC infrastructure in a multi-cloud environment. Hands-on engineering which requires deep technical expertise in HPC technology and standard methodologies.

Implement, and manage cloud-based infrastructure that supports HPC environments that support 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 the security, scalability, and reliability of HPC systems in the cloud.
Optimize cloud resources for cost-effective and efficient use.
Stay ahead of with the latest in cloud services and industry standard processes.
Provide technical leadership and guidance in cloud and HPC systems management.
Develop and maintain CI/CD pipelines for deploying resources to multi-cloud environments.
Monitor and fix cluster operations/applications and cloud environments.
Document system design and operational procedures.

Must-Have Skills:

Expert with Linux/Unix system administration (RHEL, CentOS, Ubuntu, etc.).
Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF, etc.).
Good understanding of parallel computing, MPI, OpenMP, and GPU acceleration (CUDA, ROCm).
Knowledge of storage architectures and distributed file systems (Lustre, GPFS, Ceph).
Experience with containerization technologies (Singularity, Docker) and cloud-based HPC solutions.
Expert in scripting languages (Python, Bash) and containerization technologies (Docker, Kubernetes).
Familiarity with automation tools (Ansible, Puppet, Chef) for system provisioning and maintenance.
Understanding of networking protocols, high-speed interconnects, and security best practices.
Demonstrable experience in cloud computing (AWS, Azure, GCP) and cloud architecture.
Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation and Git.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. Expert knowledge in large Linux environments, networking, storage, and cloud related technologies. Also, the candidate will have expertise in root-cause analysis and fix while working with a team and stakeholders. Top-level communication and documentation skills are required. Expertise in coding in Python, Bash, YAML is expected.

Good-to-Have Skills:

Experience with Kubernetes (EKS) and service mesh architectures.
Knowledge of AWS Lambda and event-driven architectures.
Familiarity with AWS CDK, Ansible, or Packer for cloud automation.
Exposure to multi-cloud environments (Azure, GCP).

Basic Qualifications:

Bachelors degree in computer science, IT, or related field with 6-8 years of hands-on HPC administration or a related field

Additional Skills:

Experience supporting research in healthcare life sciences.
Deep, extensive experience with High Performance Computing (HPC) and cluster management
Familiarity with machine learning frameworks (TensorFlow, PyTorch) and data pipelines.
Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
Experience in an Agile development environment.
Prior work with distributed computing and big data technologies (Hadoop, Spark).

Professional Certifications (preferred):

Red Hat Certified Engineer (RHCE) or Linux Professional Institute Certification (LPIC)
AWS Certified Solutions Architect Associate or Professional

Preferred Qualifications:

Soft Skills:

Strong analytical and problem-solving skills.
Ability to work effectively with global, virtual teams
Effective communication and collaboration with cross-functional teams.
Ability to work in a fast-paced, cloud-first environment.