Technologist, Data Analytics Engineering

Responsibilities

• Lead the architecture, engineering, and operationalization of enterprise AI platform capabilities
• Own the productization of foundational AI capabilities including AI Gateway, Semantic Layer, and Agentic Harness
• Define and implement platform engineering strategy including CI/CD, IaC, and API lifecycle management
• Architect and scale foundational AI capabilities and orchestration frameworks
• Establish standards, reference architectures, and engineering best practices across teams

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields
• 10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering
• Demonstrated expertise in building large-scale enterprise platforms
• Deep expertise in CI/CD, Infrastructure as Code, cloud-native architectures, and API platforms
• Experience operationalizing AI/ML or GenAI platforms in enterprise environments

Preferred Qualifications

• Certifications in Cloud Architecture
• Experience with Agentic frameworks
• Excellent communication and stakeholder management skills

About the Company

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.