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Remote Azure Jobs in California (NOW HIRING)

4STAFFING, INC.

Azure AI Solutions Architect

San Jose, CA · Remote

$74.50 - $97/hr

Azure AI Solutions Architect (Remote USA) * Full-time, direct employment * Remote - USA - Some travel required *  No visa sponsorship or C2C at this time Our client, a top-tier ...

YO AI Labs

Infrastructure Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

YO AI Labs

Infrastructure Expert - Remote

San Jose, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

Vaxcyte

Senior Azure Cloud Engineer

San Carlos, CA · On-site +1

$163K - $191K/yr

We are seeking a skilled and passionate Azure Cloud Engineer to join our growing engineering team. In this role, you will design, build, and maintain secure, scalable cloud infrastructure on ...

YO AI Labs

DevOps Expert - Remote

Los Angeles, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

YO AI Labs

DevOps Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

YO AI Labs

DevOps Expert - Remote

San Jose, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

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Remote Azure information

See California salary details

$60.2K

$101.7K

$127.3K

How much do remote azure jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote azure in California is $101,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $120,900.00 per year, depending on experience, location, and employer.

What is a remote Azure?

A Remote Azure job refers to a position where professionals work from a location outside the traditional office environment, focusing on Microsoft Azure, which is a cloud computing platform. These roles typically involve managing, developing, deploying, or maintaining cloud-based solutions using Azure services and tools. Common job titles include Azure Cloud Engineer, Azure Administrator, or Azure Developer, and tasks may involve configuring virtual machines, managing databases, ensuring cloud security, or automating deployments. Remote Azure professionals use collaboration tools to communicate with their teams and may support clients or internal projects across different time zones.

What are the key skills and qualifications needed to thrive as a remote Azure engineer, and why are they important?

To thrive as a Remote Azure Engineer, you need expertise in cloud computing, networking, and security, typically backed by experience with Microsoft Azure and relevant certifications such as Azure Administrator or Azure Solutions Architect. Familiarity with Azure DevOps, PowerShell scripting, and infrastructure-as-code tools like ARM templates or Terraform is often required. Strong problem-solving skills, self-motivation, and effective remote communication abilities make candidates stand out in this role. These skills and qualities are crucial for ensuring secure, efficient cloud solutions and seamless collaboration in distributed teams.

What are some common challenges faced by remote Azure professionals, and how can they be effectively managed?

Remote Azure professionals often face challenges such as coordinating across distributed teams, managing cloud resources securely, and staying current with frequent Azure platform updates. Overcoming these challenges involves proactive communication using collaboration tools, adhering to best practices for cloud security, and dedicating time for ongoing learning through official Microsoft resources. Regularly participating in team meetings and leveraging automation can also help streamline workflows and ensure alignment with organizational goals.

What are the most commonly searched types of Azure jobs in California?

The most popular types of Azure jobs in California are:

What are popular job titles related to Remote Azure jobs in California?

For Remote Azure jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Azure jobs in California look for?

The top searched job categories for Remote Azure jobs in California are:

What cities in California are hiring for Remote Azure jobs?

Cities in California with the most Remote Azure job openings:

Remote Azure jobs near you
Infographic showing various Remote Azure job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution, with an average salary of $101,651 per year, or $48.9 per hour.

Azure AI Solutions Architect

4STAFFING, INC.

San Jose, CA • Remote

$74.50 - $97/hr

Full-time

Posted 10 days ago

Job description

Job Title: Azure AI Solutions Architect (Remote USA)

  • Full-time, direct employment
  • Remote - USA - Some travel required 
  • No visa sponsorship or C2C at this time

Our client, a top-tier IT Consulting firm, is seeking an experienced and knowledgeable OpenAI Solutions Architect to join their AI Team. In this role, you will be an AI expert on the Azure cloud, with a focus on Azure OpenAI services. You will work closely with Microsoft Account Managers and clients to drive business opportunities, provide technical expertise, and deliver innovative solutions leveraging OpenAI technologies.

Essential Duties and Responsibilities:

  • Serve as a subject matter expert in OpenAI and Azure cloud technologies, providing technical guidance and solutions to clients across various sectors.
  • Collaborate with cross-functional teams, including data scientists, technical architects, developers, and engineers, to design and implement AI-driven solutions on the Azure platform.
  • Conduct technical assessments, workshops, and proof-of-concept (POC) projects to demonstrate the capabilities of OpenAI and Azure services to clients.
  • Develop and deliver customer training sessions, technical presentations, and demos to showcase the value and use cases of OpenAI solutions.
  • Stay up-to-date with the latest trends, best practices, and advancements in OpenAI, Azure, and related technologies, and share knowledge with the team and clients.
  • Contribute to the development of reusable architecture patterns, templates, and frameworks for AI solutions on Azure.
  • Participate in pre-sales activities, including opportunity identification, solution design, and proposal development.
  • Support the sales team in technical discussions and solution demonstrations with prospective clients.
  • Collaborate with offshore teams and ensure seamless integration and delivery of AI solutions.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 5 years of experience in technical architecture, solution design, and implementation, with a strong focus on AI and cloud technologies.
  • Proven expertise in Azure cloud services, with a deep understanding of Azure OpenAI offerings.
  • Proficiency in programming languages such as Python and experience with AI/ML frameworks and tools.
  • Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Experience in consulting or professional services environments, with a track record of successful client engagements and project delivery.
  • Willingness to travel up to 10% of the time for client meetings and on-site engagements.

Preferred Qualifications:

  • Experience with mainframe systems and legacy code modernization projects.
  • Familiarity with agile methodologies and DevOps practices.
  • Expertise in data engineering, data analytics, and cloud-based data solutions.
  • Relevant industry certifications (e.g., Microsoft Certified Solutions Expert, Microsoft Certified: Azure AI Engineer Associate, Azure Solutions Architect Expert).

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