Cloud Data Platform Lead – Azure & AI Ops

Lam Research Salzburg GmbH; Fremont (CA); Hybrid; USD 137,000 - 287,000; Full time

Benefits offered by this job

On-site Flex

Virtual Flex

Lam benefits package

Job summary

Lam Research in Fremont, CA seeks a Platform Technology Lead to oversee the design, implementation, and management of cloud data technology with a primary focus on Microsoft Azure and cross-cloud support (AWS/GCP). You will provide technical direction, drive security, governance, and cost optimization while actively supporting day-to-day infrastructure activities.

The role requires extensive cloud engineering leadership, hands-on expertise, and collaboration with data, security, and operations

Qualifications

• 12+ years of experience in cloud engineering, platform operations, enterprise data technology modernization, or large-scale technology transformation initiatives.
• Strong experience designing and operating cloud technology with Microsoft Azure as the preferred platform. AWS or GCP experience is a plus.
• Strong understanding of cloud architecture, infrastructure as code, networking, IAM, monitoring, automation, high availability, and disaster recovery principles.
• Hands-on experience with cloud security, governance frameworks, provisioning, configuration management, CI/CD integration, scripting, and operational support for enterprise environments.
• Experience supporting enterprise application platforms, data integrations, APIs, databases, manufacturing systems, or business-critical operational environments is preferred.
• Strong understanding of cloud governance, lifecycle management, metadata, access controls, compliance requirements, and operational quality frameworks.
• Strong communication skills with the ability to lead technical discussions, partner with business and engineering stakeholders, and translate operational needs into scalable cloud data platform solutions.

Responsibilities

• Lead the design, deployment, and management of scalable, secure, and highly available cloud data technology solutions across Microsoft Azure environments.
• Define cloud architecture standards and design guidelines, participate in architecture reviews, and help teams implement well-architected framework principles.
• Develop and maintain a cloud technology strategy aligned with business priorities, governance requirements, and operational standards.
• Provision, configure, and manage Azure cloud resources, including virtual machines, containers, serverless services, and IaaS, PaaS, and SaaS solutions.
• Implement cloud governance, identity and access management, security controls, compliance practices, and business continuity/disaster recovery processes.
• Optimize cloud cost, performance, reliability, and operational efficiency through monitoring, automation, standard procedures, and incident response practices.
• Support engineering teams by promoting consistent cloud engineering practices and evaluating tools that improve automation, monitoring, reliability, security, and operational efficiency.
• Drive AI adoption by identifying opportunities to apply AI-enabled tools and automation that improve cloud operations, engineering productivity, monitoring, and service reliability.
• Mentor senior engineers and architects while leading cloud engineering communities of practice to promote shared standards and technical excellence.
• Collaborate with cross-functional teams, including data architects, security, operations, and business stakeholders, to deliver secure and scalable cloud solutions.

Skills

Cloud engineering

Platform operations

Enterprise data tech

Technology transformation

Education

Bachelor's degree in Computer Science

Tools

Azure

AWS

GCP

Terraform

CI/CD tooling

Job description

Lam Research in Fremont, CA seeks a Platform Technology Lead to oversee the design, implementation, and management of cloud data technology with a primary focus on Microsoft Azure and cross-cloud support (AWS/GCP). You will provide technical direction, drive security, governance, and cost optimization while actively supporting day-to-day infrastructure activities.

The role requires extensive cloud engineering leadership, hands-on expertise, and collaboration with data, security, and operations