Sr. Azure 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

We are seeking a highly skilled and experienced Senior Azure Cloud Engineer to join our team in Milpitas, California. In this role you will lead the design, development, and deployment of scalable cloud services supporting data lakehouse architectures and AI/ML applications. This role will be instrumental in building robust, secure, and high-performance cloud infrastructure and services that enable advanced analytics and machine learning capabilities across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Design and implement scalable, highly available, and secure cloud architectures using Azure services
• Architect and implement Azure-based cloud solutions for data lakehouse and AI workloads.
• Design and deploy scalable data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
• Develop and manage infrastructure-as-code using tools like Terraform or Bicep.
• Collaborate with data scientists and AI engineers to optimize cloud environments for training and inference workloads.
• Ensure security, compliance, and cost-efficiency of cloud services.
• Monitor and troubleshoot performance issues across cloud services and data pipelines.
• Automate deployment and operational tasks using CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps).
• Stay current with Azure innovations and recommend improvements to existing architectures.
• Mentor junior team members and contribute to the overall growth of the cloud engineering practice

Qualifications

REQUIRED:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 10-12 years total experience with 5-7 years of cloud experience with Microsoft Azure, including services like:
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Machine Learning
  • Azure Kubernetes Service (AKS)
  • Azure Functions and Logic Apps
  • Strong understanding of cloud networking, security, and governance.
  • Experience with hybrid and multi-cloud environments.

SKILLS:

• Strong understanding of cloud networking, security, and governance.
• Experience with hybrid and multi-cloud environments.
• Proficiency in Infrastructure as Code (IaC) specifically strong knowledge of Terraform & Python
• Experience with containerization technologies such as Docker and Kubernetes
• Proven track record of designing and implementing complex cloud solutions for enterprise environments
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication and collaboration abilities

PREFERRED:

• Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert) are highly desirable
• Good knowledge of at least one other cloud platforms (AWS, GCP) is required

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee 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 car