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Contract Azure Infrastructure Engineer Jobs in California

Infrastructure Engineer

San Francisco, CA · On-site

$130K - $240K/yr

Maxana is seeking an experienced Infrastructure Engineer for a confidential client -- a fast ... Cloud-native infrastructure experience -- AWS, GCP, or Azure; Docker and Kubernetes required

Maxana is seeking an experienced Infrastructure Engineer for a confidential client - a fast-growing ... Cloud-native infrastructure experience - AWS, GCP, or Azure; Docker and Kubernetes required

Infrastructure engineer

Auburn, CA · On-site

$115K - $151K/yr

Contract * Minimum of 7 years of experience working in Network Domain Routing SwitchingFirewalls ... Azure Infra Services, Cisco DC/Branches Routers & Switches, Genesys Contact-Center, HP DC/Branches ...

Staff Infrastructure Engineer Overview The IT Infrastructure Engineer is responsible for designing ... Support cloud services (Azure preferred), including IaaS, PaaS, identity, automation, and ...

Infrastructure Engineer

El Segundo, CA · On-site

$114K - $150K/yr

They are seeking an Infrastructure Engineer to design, build, and operate secure production systems ... AWS, Azure), with strong instincts for designing across providers and deployment profiles • ...

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

The Role As an Infrastructure Engineer at Relace, you'll design and operate the systems that power ... infrastructure (AWS, GCP, Azure, or equivalent) Experience with data science and systems ...

Sr Systems Engineer - Azure

San Diego, CA · On-site

$120K - $150K/yr

Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ... Serve as primary backup to the Sr. Engineer and Technology Architect for Azure decisions ...

Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ... Serve as primary backup to the Sr. Engineer and Technology Architect for Azure decisions ...

Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ... Serve as primary backup to the Sr. Engineer and Technology Architect for Azure decisions ...

Sr Systems Engineer - Azure

Irvine, CA · Hybrid

$120K - $150K/yr

Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ... Serve as primary backup to the Sr. Engineer and Technology Architect for Azure decisions ...

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Showing results 1-20

Contract Azure Infrastructure Engineer information

What is the difference between Contract Azure Infrastructure Engineer vs Contract Cloud Network Engineer?

AspectContract Azure Infrastructure EngineerContract Cloud Network Engineer
CertificationsAzure Solutions Architect, Azure AdministratorCisco CCNA, CCNP, CCIE, Azure certifications
Work EnvironmentAzure cloud platforms, infrastructure deployment, and managementNetwork design, security, and connectivity in cloud environments
Employer & Industry UsageTech companies, cloud service providers, enterprises using AzureTelecom, data centers, cloud providers, enterprises with complex networks

The Contract Azure Infrastructure Engineer primarily focuses on deploying and managing Azure cloud infrastructure, while the Contract Cloud Network Engineer specializes in designing and securing network connectivity within cloud environments. Both roles require cloud and networking certifications and are in high demand across tech and enterprise sectors. The main difference lies in their focus areas: infrastructure deployment versus network security and connectivity.

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Lead Azure Infrastructure Engineer

Lead Azure Infrastructure Engineer

Lam Research Corporation

Fremont, CA • On-site

$117K - $154K/yr

Full-time

Re-posted 29 days ago


Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

47th of 430 rated machine equipment manufacturers


Job description

The impact you'll make
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.
What you'll do
  • 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.

Who we're looking for
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.

Preferred qualifications
  • 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.

Our commitment
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.
Salary
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.

What Lam Research employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lam Research logo

About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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