Senior High Performance Computing Engineer

High-Performance Computing (HPC) infrastructure

Roles & Responsibilities

• Implement and manage

  cloud-based infrastructure

  that supports

  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 the

  security, scalability, and reliability

  of HPC systems in the cloud.
• Optimize cloud resources for

  cost-effective and efficient use

  .
• Stay ahead of the curve 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

expert knowledge in large Linux environments, networking, storage, and cloud-related technologies

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

• Bachelor's degree in computer science, IT, or a related field with

  6-8 years of hands-on HPC administration

  or a related field.

Professional Certifications (Preferred)

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

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.