Key Responsibilities:
Design, build, and operate scalable data and AI platform capabilities across cloud-native and hybrid environments, with a primary focus on Azure and exposure to AWS, ensuring reliability, security, and operational excellence.
Build and maintain foundational platform services for data and analytics using Azure Databricks, ADLS Gen2, and supporting cloud services.
Develop and manage Infrastructure-as-Code (IaC) and containerized platform components using Terraform, Docker, and Kubernetes fundamentals for repeatable, resilient deployments.
Enable standardized, self-service platform patterns for data engineering, analytics, and AI teams.
Integrate data platforms with AI platforms and model AI gateways, supporting secure, governed, and scalable AI access.
Apply platform engineering and DevOps best practices through automation, CI/CD, and DataOps workflows using Python and scripting.
Collaborate with platform, AI/ML, application, infrastructure, and security teams to deploy, scale, and operate platform workloads.
Monitor, troubleshoot, and support production platforms in distributed, cloud-native environments, meeting reliability and SLA expectations.
Contribute to platform standards, reusable patterns, documentation, and runbooks to improve self-service and developer productivity.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related field.
6–8 years of experience in Data Platform Engineering or Cloud Engineering.
Strong working experience with cloud-native platforms, with Azure preferred and exposure to AWS/GCP.
Experience with Azure data and analytics platforms, such as Azure Databricks and related cloud data services.
Working knowledge of containerization concepts (Docker, basic Kubernetes awareness) and Linux-based environments.
Hands-on experience with automation and scripting, using Python, Shell, or similar languages
Good understanding of CI/CD, DevOps, and DevSecOps principles for building secure, reliable, and scalable platforms.
Familiarity with Big Data concepts and distributed data processing systems
Awareness of AI/ML and GenAI platform concepts, including AI/ML Ops and model lifecycle fundamentals.
Strong problem-solving, troubleshooting, and communication skills, with the ability to collaborate effectively across teams.
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the
Equal Employment Opportunity is the Law
poster.
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
staffingsupport@wdc.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.
