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Cloud Testing Jobs in California (NOW HIRING)

PG&E Corporation

Cloud Platform Engineer

Oakland, CA · Hybrid

$132K/yr

... training, testing, deployment, monitoring, and lifecycle automation. This position is hybrid ... Design, build, test, and deploy cloud-based infrastructure services across compute, storage ...

New

Hiremore

Cloud Architect

Irvine, CA · On-site

$69.75 - $89/hr

CORE DUTIES*: Act as the conceptual source SME for cloud end-to-end architecture solutions ... testing, and production deployment Troubleshoot highly complex problems for which the analysis and ...

Hewlett Packard Enterprise

Cloud Developer III

San Jose, CA · Hybrid

$66 - $90.25/hr

Cloud Developer III This role has been designed as 'Hybrid' with a requirement that you will work ... Analyzes feature specifications and determines required coding, testing, and integration activities.

Arka Infotech Inc

Cloud Developement Engineer

Santa Clara, CA · On-site

$65.50 - $87.50/hr

Solution Design, Development, and Testing Cloud Security Solutions using Intel and other Industry Security technologies that can scale and be easily deployed in the Enterprise and public cloud data ...

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How much do cloud testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for cloud testing in California is $62.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.67 per hour, depending on experience, location, and employer.

What is a cloud testing?

A Cloud Testing job involves evaluating cloud-based applications, services, and infrastructure to ensure performance, security, and scalability. Cloud testers use various testing methods, such as functional, performance, security, and compliance testing, to validate cloud solutions. They work with cloud platforms like AWS, Azure, or Google Cloud and use automation tools to streamline testing processes. The role requires knowledge of cloud computing, test automation, and DevOps practices to ensure seamless software deployment and functionality in cloud environments.

What are some typical challenges faced by professionals working in cloud testing?

Professionals in Cloud Testing often encounter challenges such as ensuring test environments accurately reflect production cloud settings, managing automated tests across multiple platforms, and addressing issues related to cloud scalability and security. Collaborating closely with development, DevOps, and infrastructure teams is common to maintain smooth integration and continuous deployment pipelines. Additionally, adapting to rapidly evolving cloud technologies and keeping up-to-date with industry best practices is an ongoing part of the role. These challenges provide opportunities to develop specialized skills and contribute significantly to the reliability and performance of cloud-based applications.

What are the key skills and qualifications needed to thrive in the cloud testing position, and why are they important?

To excel in Cloud Testing, a solid grounding in software testing principles, cloud platforms (such as AWS, Azure, or Google Cloud), and scripting languages like Python or Shell is essential, often supported by a degree in computer science or a related field. Familiarity with automation tools (e.g., Selenium, Jenkins), containerization (Docker/Kubernetes), and cloud-testing frameworks as well as certifications like AWS Certified DevOps Engineer are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help cloud testers navigate complex cloud environments and collaborate across teams. These abilities are vital to ensure robust, scalable, and secure cloud applications while meeting project requirements and deadlines.

Are cloud testing jobs still in demand?

Cloud testing jobs remain in demand as organizations increasingly adopt cloud environments and require professionals skilled in cloud platforms, automation tools, and testing frameworks. These roles often require knowledge of cloud services like AWS, Azure, or Google Cloud, along with scripting and automation skills. The demand is expected to grow with the ongoing shift toward cloud-based solutions across industries.

How to become a cloud testing?

To become a cloud tester, develop skills in cloud platforms like AWS, Azure, or Google Cloud, and gain experience with testing tools and automation frameworks. Earning certifications such as AWS Certified Cloud Practitioner or Certified Cloud Testing Professional can enhance your credentials. Practical experience in software testing, scripting, and understanding cloud architecture are essential for this role.

What are popular job titles related to Cloud Testing jobs in California?

For Cloud Testing jobs in California, the most frequently searched job titles are:

What job categories do people searching Cloud Testing jobs in California look for?

The top searched job categories for Cloud Testing jobs in California are:

Cloud Testing jobs near you
Infographic showing various Cloud Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,089 per year, or $62.1 per hour.

Cloud Platform Engineer

PG&E Corporation

Oakland, CA • Hybrid

$132K/yr

Full-time

Posted 2 days ago

New

Job description

Requisition ID # 174360 

Job Category: Engineering / Science 

Job Level: Individual Contributor

Business Unit: Technology & Security

Work Type: Hybrid

Job Location: Oakland

Department Overview 

Technology & Security delivers secure, resilient, and scalable enterprise platforms that support critical business applications, infrastructure services, cloud operations, automation, and emerging technology enablement. 

Position Summary 

The Cloud Platform Engineer will design, build, configure, and support enterprise infrastructure platforms across Linux, Unix, Windows, and cloud-based operating environments. This role supports workloads across AWS, Microsoft Azure, and private cloud platforms such as Azure Local, with a focus on reliability, security, automation, and operational scalability. 

The role combines systems administration, cloud engineering, infrastructure automation, and DevOps practices to provision, configure, patch, monitor, and maintain scalable compute, storage, network, and platform services. The engineer will use tools such as Azure DevOps, CI/CD pipelines, scripts, and infrastructure-as-code(Terraform) patterns to standardize deployments and improve operational consistency. 

The ideal candidate has hands-on experience with Linux and Windows administration, virtualization, containers, cloud-native services, monitoring tools, security patching, and performance optimization. 

This role may also support physical server builds, hardware lifecycle activities, IBM logical partition environments, and related enterprise platform operations as business needs require. 

This position also supports infrastructure used for machine learning and advanced analytics workloads, including environments for model training, testing, deployment, monitoring, and lifecycle automation. 

This position is hybrid, working from your remote office and Oakland, CA once per week, or more, based on business needs or company requirements.

Compensation

PG&E is providing the full salary/pay range for this position.  The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.  The range to reasonably expect will be between the minimum and midpoint listed below.  The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. 

Bay Area Min: $102,000.00

Bay Area Mid: $132,000.00

Bay Area Max: $162,000.00

Job Responsibilities 

  • Design, build, test, and deploy cloud-based infrastructure services across compute, storage, network, and operating system layers. 

  • Assist with infrastructure asset deployment, utilization, acquisition, lifecycle status, and disposition activities to identify platform risks and capacity needs. 

  • Deploy operating system updates, security patches, configuration changes, and infrastructure reports across environments. 

  • Troubleshoot and resolve issues across operating systems, virtual machines, cloud services, storage platforms, backup services, monitoring agents, and infrastructure components. 

  • Collect, review, and analyze logs, alerts, utilization trends, and performance metrics. 

  • Assist in technical solution options that address reliability, scalability, security, automation, performance, and cost optimization requirements. 

  • Build, configure, patch, and support virtual machines in virtualized environments. 

  • Build, configure, and support IBM logical partitions, including coordination with compute, storage, network, and operating system teams. 

Qualifications 

Minimum: 

  • Bachelor's degree in computer science, job-related discipline, or equivalent experience.

  • 2 years of hands-on experience in infrastructure, systems administration, cloud operations, or related Information Technology functions. 

  • 1 year of experience supporting cloud technologies, cloud services, infrastructure automation, or cloud-based operating environments. 

  • Experience working in an Agile/Scrum environment. 

  • AWS Certified CloudOps Engineer or Certified Azure Administrator or equivalent Cloud Platform certification. 

Desired: 

  • Knowledge of AWS and Azure cloud services, including compute, storage, networking, IAM, EC2, Lambda, containers, and automation services. 

  • Understanding Agile/Scrum principles and team-based delivery practices. 

  • Familiarity with CI/CD practices, Azure DevOps, release pipelines, source control, automated testing, and deployment automation. 

  • Knowledge of systems administration across Linux, Unix, Windows Server, and AIX operating system platforms. 

  • Understanding  of AI and machine learning development lifecycle concepts, including model build, validation, deployment, monitoring, and retraining workflows. 

  • Knowledge of machine learning platforms, data pipelines, model hosting environments, containerized workloads, and operational support processes. 

  • Ability to deliver work in sprints and collaborate effectively with cross-functional teams. 

  • Experience with scripting or application development using tools or languages such as PowerShell, Bash, Python, YAML, or similar automation technologies is a plus. 

  • Experience managing performance scorecards, dashboards, or benchmarking processes is a plus. 

Apply