Live opening · Posted 3 days ago

Devops engineer

Sandisk · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanySandisk
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, AWS, Azure, GCP, Docker, Kubernetes, Terraform
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

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.
Description
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: Prometheus, 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.

Work arrangement
No

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