HPC & Cloud Engineer
Indexed description
Sandiskmeets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibilityforward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globallyforinnovation, performance and quality.
Sandiskhas two facilities recognized by the World EconomicForum as part of the Global Lighthouse Networkforadvanced 4IR innovations. These facilities were also recognized as Sustainability Lighthousesforbreakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world movingforward.
Job Description
Cloud Architecture & Operations
- Build and operate HPC environments on cloud platforms such as:
- Amazon Web Services(AWS)
- MicrosoftAzure
- GoogleCloud Platform
- Design hybrid-cloud and multi-cloud architectures for HPC workloads.
- Implement cloud-native storage, networking, security, and disaster recovery solutions.
- Develop Infrastructure as Code (IaC) using:
- Terraform
- CloudFormation
- Ansible
- Python code
- Build CI/CD pipelines for infrastructure and platform deployments.
- Automate cluster provisioning, configuration management, monitoring, and patch management.
- Develop self-service provisioning frameworks for research and engineering teams.
- Design and implement scalable AI/ML data pipelines.
- Build data ingestion, transformation, and orchestration frameworks.
- Support distributed AI training and inference workloads.
- Optimize GPU utilization for deep learning applications.
- Collaborate with Data Scientists and ML Engineers to deploy production AI solutions.
- Implement observability solutions using: Prometheus, Grafana, ELK Stack, OpenTelemetry
- Monitor system performance, capacity planning, and SLA compliance.
- Troubleshoot performance bottlenecks across compute, storage, network, and AI frameworks.
- Design, deploy, and manage large-scale HPC clusters across on-premises and cloud environments.
- Administer compute, storage, networking, and GPU resources for AI/ML and data-intensive workloads.
- Optimize cluster performance, scheduling, and resource utilization using workload managers such as:Slurm, LSF, PBS Pro, Kubernetes
- Implement security best practices for HPC and cloud environments.
- Manage IAM, secrets management, encryption, and compliance controls.
- Support regulatory requirements and enterprise governance standards.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- Strong experience with Linux system administration (RHEL, Rocky Linux, Ubuntu).
- Experience managing HPC clusters and distributed computing environments.
- Proficiency inPython, Bash, or Go.
- Hands-on experience with:Terraform, Ansible, Git, Jenkins/GitHub Actions
- Experience with container technologies:Docker, Kubernetes, Singularity/Apptainer
- Knowledge of AI/ML frameworks: TensorFlow, PyTorch, Ray, Spark
- Experience with GPU technologies and accelerator platforms.
- AWS, Azure, or GCP architecture and operations.
- Cloud networking, storage, and security services.
- Hybrid cloud and HPC workload migration experience.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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