Temporary Azure Infrastructure Engineer Jobs in Milpitas, CA

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date: Jul 16, 2026

Location: Fremont, CA, US, 94538

Worker Category: On-site Flex

In this role, you will directly contribute to Lam’s Enterprise AI strategy by building and scaling the Azure platform foundations that power secure, reliable, and production-ready AI services across the company. As a hands-on technical lead, you will define and implement platform architecture, infrastructure patterns, automation, and operational readiness for Azure-based AI services, helping accelerate delivery of Enterprise AI initiatives at scale.

• Lead the design and implementation of Azure platform and infrastructure patterns that support Enterprise AI services, ensuring solutions are scalable, secure, maintainable, and ready for production use.
• Build and evolve Azure-based foundations for AI services, including networking, identity, access, connectivity, deployment patterns, and environment readiness across development and production landscapes.
• Partner with engineering teams to enable deployment and operation of AI services on Azure, including services related to Azure OpenAI, MS Foundry, Azure API Management, AKS/Kubernetes, and other Azure-native platform capabilities.
• Define and improve infrastructure automation, platform provisioning, and engineering workflows using Python, PowerShell, CI/CD pipelines, and infrastructure-as-code practices where appropriate.
• Build and enhance observability across Azure AI services using Application Insights, Azure Monitor, Log Analytics, KQL, dashboards, alerting, and health checks.
• Review platform and application architectures to improve operability, reliability, security, and supportability, and drive remediation of recurring technical and platform issues.
• Support production readiness through release validation, operational standards, runbooks, monitoring, and incident response for Azure-based AI services.
• Ensure platform controls, operational processes, and technical artifacts are audit-ready and aligned with enterprise compliance, resiliency, and recovery expectations.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Strong hands-on experience designing, building, and supporting cloud platforms in Microsoft Azure.
• Experience with Azure infrastructure and platform services, including areas such as networking, identity, monitoring, automation, deployment patterns, and production readiness.
• Experience with Application Insights, Azure Monitor, Log Analytics, and Kusto Query Language (KQL) for troubleshooting, telemetry analysis, and operational visibility.
• Strong scripting or automation experience using Python and/or bash and PowerShell.
• Experience with CI/CD pipelines, deployment automation, and production release practices.
• Experience reviewing technical architectures and driving implementation decisions for scalable and supportable cloud services.
• Strong communication skills with the ability to translate complex technical issues into clear updates and recommendations for engineering teams, stakeholders, and leadership.

• Experience with Azure AI services, including Azure OpenAI / Foundry or other AI/ML or generative AI platforms.
• Experience with Azure API Management, containerized services, and AKS/Kubernetes.
• Experience with private networking, DNS, access controls, and secure connectivity patterns in Azure.
• Experience with incident response, root cause analysis, observability, and operational support for production services.
• Experience working with enterprise ticketing or ITSM platforms such as Jira and ServiceNow.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland
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