below marketmost similar roles pay hereabove market
This role pays more than
85%
of similar roles. Most pay
$149,262–$190,875
— the blue band above.
At the midpoint, this role pays about
$212k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Lam Research
Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.
Lam Research currently has
137 open roles
on FindRole.
Listed pay typically runs
$114,000–$253,000
across 82 roles with salary data.
The Senior Cloud Engineer joins the Global Information Systems Group to serve as a cloud data platform technology lead. This role involves overseeing the design, implementation, and management of scalable, secure, and highly available cloud data technology solutions. Key responsibilities include defining architecture standards, provisioning resources like virtual machines and containers, and implementing governance, identity and access management, and disaster recovery processes. The candidate will utilize Microsoft Azure as the primary platform, with additional support for AWS and GCP environments. Required technical skills include infrastructure as code, networking, CI/CD integration, scripting, and automation. The position focuses on enterprise data technology modernization, supporting business-critical operational environments, manufacturing systems, and data integrations while driving AI adoption to improve cloud operations and engineering productivity.
What does a Cloud Engineer earn?
Median $152167 from 44 postings across 12 companies.
Lead the design, deployment, and management of scalable cloud data solutions in Microsoft Azure.
Define cloud architecture standards and design guidelines based on well-architected framework principles.
Develop and maintain a cloud technology strategy aligned with business priorities and governance.
Provision and manage Azure resources including virtual machines, containers, and serverless services.
Implement cloud governance, identity and access management, security controls, and disaster recovery processes.
Optimize cloud cost, performance, and reliability through monitoring and automation.
Drive AI adoption by identifying opportunities for AI-enabled tools to improve cloud operations.
Mentor senior engineers and lead cloud engineering communities of practice to promote technical excellence.
What we're looking for
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.
Experience with AWS or GCP is a plus.
Strong understanding of cloud architecture, infrastructure as code, networking, identity and access management, monitoring, automation, high availability, and disaster recovery.
Hands-on experience with cloud security, governance frameworks, resource provisioning, configuration management, CI/CD integration, scripting, and operational support.
Experience supporting enterprise application platforms, data integrations, APIs, databases, manufacturing systems, or business-critical operational environments is preferred.
Bachelor’s degree in Computer Science, Information Technology, Management Information Systems, Engineering, or a related technical field (preferred).
Relevant cloud technology certification in Azure, AWS, or GCP is preferred.