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Remote Azure Cloud Engineer Jobs in California (NOW HIRING)

Mat3ra

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$130K - $200K/yr

R.V.I.S. for materials RnD ( and looking for Senior Engineers excited about bridging the gap ... AWS/Azure/GCP (advanced) * OpenMP/MPI/CUDA (intermediate) * Docker/Singularity or similar ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ... Familiarity withLinux environmentsand cloud-based data ecosystems Working Location: Remote(USA)or ...

Wsgr

Principal Cloud Infrastructure Engineer

San Diego, CA · On-site +1

$147K - $198K/yr

This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ... Advanced knowledge Azure best practices as it relates to deployment, scaling, data protection, and ...

Wsgr

Principal Cloud Infrastructure Engineer

Palo Alto, CA · On-site +1

$147K - $198K/yr

This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ... Advanced knowledge Azure best practices as it relates to deployment, scaling, data protection, and ...

LIBERTY DENTAL

You will have the opportunity to work with Azure cloud services, .NET applications, SQL databases ... Strong understanding of software engineering principles, algorithms, data structures, and software ...

New

The Rockridge Group

Web Developer

Emeryville, CA · Remote

Lisbon, Portugal (100% remote) Duration: Contractor Groundbreaking advances in synthetic biology ... Our stack includes Shopify, custom Shopify apps, Boomi, Azure Cloud, Salesforce Marketing Cloud ...

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Remote Azure Cloud Engineer information

What is a remote Azure cloud engineer?

A Remote Azure Cloud Engineer is an IT professional who designs, implements, and manages cloud-based solutions using Microsoft Azure, while working remotely from any location. Their responsibilities typically include deploying virtual machines, configuring cloud services, ensuring security and compliance, and troubleshooting technical issues related to Azure infrastructure. They collaborate with development and operations teams to support cloud-based applications and may also be involved in automation, monitoring, and optimizing cloud resources. Strong knowledge of Azure services, networking, and cloud security is essential for this role.

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

To thrive as a Remote Azure Cloud Engineer, you need strong expertise in cloud computing, Azure services, infrastructure as code, and a relevant degree or certifications such as Microsoft Certified: Azure Solutions Architect or Azure Administrator. Proficiency with tools like Azure DevOps, ARM templates, PowerShell, and monitoring systems is typically required. Outstanding problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and addressing technical challenges remotely. These skills ensure secure, efficient cloud solutions and effective teamwork in a remote work environment.

What are some common challenges faced by remote Azure cloud engineers, and how can they be addressed?

Remote Azure Cloud Engineers often encounter challenges such as managing secure access to cloud resources, staying updated with rapidly evolving Azure services, and ensuring effective communication with distributed teams. To address these, it's important to use secure VPNs and Azure security best practices, allocate regular time for professional development, and leverage collaboration tools like Microsoft Teams or Slack. Proactive documentation and clear workflows also help maintain alignment with colleagues and ensure project success.

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

The most popular types of Azure Cloud Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Azure Cloud Engineer jobs?

Cities in California with the most Remote Azure Cloud Engineer job openings:

Remote Azure Cloud Engineer jobs near you
Infographic showing various Remote Azure Cloud Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

DevOps Engineer - AI Model Evaluator

Mercor

San Francisco, CA • Remote

$85/hr

Full-time

Re-posted 16 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
  • Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
  • Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models to assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
  • Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Preferred

  • Experience supporting production-scale systems.

Compensation & Legal

  • $400 per accepted task
  • Compensation tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.