High Performance Computing and Cloud Engineer

HPC & Cloud Engineer Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs 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 moving forward. Job Description Cloud Architecture & Operations Build and operate HPC environments on cloud platforms such as: Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform Design hybrid-cloud and multi-cloud architectures for HPC workloads. Implement cloud-native storage, networking, security, and disaster recovery solutions. Infrastructure Automation & DevOps 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. AI & Data Engineering 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. Platform Monitoring & Reliability Implement observability solutions using: P rometheus, Grafana, ELK Stack, OpenTelemetry Monitor system performance, capacity planning, and SLA compliance. Troubleshoot performance bottlenecks across compute, storage, network, and AI frameworks. HPC Infrastructure Engineering 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 Security & Governance Implement security best practices for HPC and cloud environments. Manage IAM, secrets management, encryption, and compliance controls. Support regulatory requirements and enterprise governance standards. Qualifications 5+ years of experience in DevOps and Cloud infrastructure management Technical Skills 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 in Python, 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. Cloud Skills AWS, Azure, or GCP architecture and operations. Cloud networking, storage, and security services. Hybrid cloud and HPC workload migration experience. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. 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 jobs.accommodations@sandisk.com 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. Experience Level Mid Level

• It is a Full Time Manufacturing job for candidates with 5 - 6+ years Experience.

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What are the eligibility criteria for this High Performance Computing and Cloud Engineer job?

Ans : Candidates should have All Education levels with 5-7 years of experience for this High Performance Computing and Cloud Engineer job offered by Sandisk India Device Design Centre Pvt.ltd in Machohalli, Bangalore.

What salary is offered for this High Performance Computing and Cloud Engineer job?

Ans : Salary details will be shared during the hiring process.

What shift and timings does this job follow?

Ans : This High Performance Computing and Cloud Engineer job follows a Day shift.

Do you need to visit the office for this job?

Ans : Yes, candidates need to visit the office and work from the location in Machohalli, Bangalore.

How many vacancies are there for this High Performance Computing and Cloud Engineer job?

Ans : There is 1 vacancy for this High Performance Computing and Cloud Engineer role.

Is this job open for all genders?

Ans : Yes, this High Performance Computing and Cloud Engineer job is open for both male and female candidates.

What is the job location for this position?

Ans : The job location for this High Performance Computing and Cloud Engineer position is Machohalli, Bangalore.

What makes this High Performance Computing and Cloud Engineer job a good opportunity?

Ans : The employer has not disclosed the salary for this role, but it is a Full Time opportunity with 1 opening.