Technologist, Data Analytics Engineering

Responsibilities

• Lead the architecture, engineering, and operationalization of enterprise AI platform capabilities to enable secure and scalable AI services.
• Own the productization of foundational AI capabilities, including AI Gateway, Semantic Layer, Agentic Harness, and integration frameworks.
• Define and implement platform engineering strategies covering CI/CD, Infrastructure as Code (IaC), API lifecycle management, and observability.
• Architect and scale foundational AI capabilities while establishing engineering best practices and reference architectures across teams.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Sciences, or a related field.
• 10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering.
• Proven expertise in building large-scale enterprise platforms and developer enablement capabilities.
• Deep technical knowledge in CI/CD, Infrastructure as Code, cloud-native architectures, and API platforms.
• Experience operationalizing AI/ML or GenAI platforms and services within enterprise environments.

Preferred Qualifications

• Professional certifications in Cloud Architecture.
• Hands-on experience with Agentic frameworks.
• Excellent communication and stakeholder management skills.

About the Company

Sandisk is a global leader in Flash and advanced memory technologies, providing the essential infrastructure for the digital world. We relentlessly innovate to deliver solutions that meet the evolving needs of people and businesses, combining powerhouse manufacturing with industry-leading product portfolios.