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Cloud Support Associate Jobs in California (NOW HIRING)

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Cloud Support Associate information

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How much do cloud support associate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for cloud support associate in California is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.87 per hour, depending on experience, location, and employer.

What is a cloud support associate?

Cloud Support Associates are IT professionals who provide technical assistance and troubleshooting support for cloud-based services and infrastructure. They help customers and internal teams resolve issues related to cloud platforms, such as connectivity, configuration, deployment, and performance. These associates often work with services like AWS, Azure, or Google Cloud, and require knowledge of cloud technologies, networking, and customer service. Their goal is to ensure users can effectively use cloud resources and resolve any technical challenges promptly.

What are the key skills and qualifications needed to thrive as a cloud support associate?

To thrive as a Cloud Support Associate, you need a solid understanding of cloud computing concepts, networking, and operating systems, often supported by a degree in computer science or related field. Familiarity with major cloud platforms (such as AWS, Azure, or Google Cloud), ticketing systems, and relevant certifications like AWS Certified Cloud Practitioner is highly valuable. Excellent problem-solving, communication, and customer service skills set top performers apart in this role. These skills ensure timely and effective resolution of customer issues, fostering reliability and satisfaction in cloud service delivery.

What are some common challenges faced by cloud support associates and how can they be addressed?

Cloud Support Associates often encounter challenges such as troubleshooting complex technical issues, managing multiple customer cases simultaneously, and keeping up with rapidly evolving cloud technologies. To address these, it's important to develop strong problem-solving and time management skills, actively participate in team knowledge-sharing sessions, and pursue continuous learning through internal training and certification opportunities. Collaborating with senior engineers and leveraging documentation can also help resolve issues efficiently while building expertise.

Is an AWS cloud support associate a good job?

An AWS Cloud Support Associate is a technical support role that involves assisting customers with cloud infrastructure issues using AWS tools and services. It offers opportunities for skill development in cloud computing, troubleshooting, and certifications like AWS Certified Support Engineer, with typical work hours and a focus on customer service and technical problem-solving.

Is cloud support a stressful job?

Cloud Support Associates often handle technical issues, troubleshoot customer problems, and work under time-sensitive conditions, which can contribute to stress. However, the level of stress varies depending on workload, experience, and workplace environment, with some roles offering structured schedules and support tools to manage pressure.

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

The most popular types of Cloud Support jobs in California are:

What cities in California are hiring for Cloud Support Associate jobs?

Cities in California with the most Cloud Support Associate job openings:

Infographic showing various Cloud Support Associate job openings in California as of September 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $40,166 per year, or $19.3 per hour.

Principal Cloud Engineering and Production Operations Engineer

San Jose, CA • On-site

A10 Networks, Inc.
Software Development • 501 - 1,000 employees

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Principal Cloud Engineering and Production Operations Engineer

The Principal Cloud and Production Operations Engineer serves as the senior technical authority responsible for architecting, automating, and optimizing hybrid and cloud-native production environments that power critical customer-facing services and enterprise applications. This role combines deep cloud infrastructure expertise with strong production reliability and operational engineering skills. The Principal Engineer acts as both architect and hands‑on builder, ensuring scalability, resilience, and security across multi‑cloud and on‑prem environments. Reporting to the Associate Director of IT and Infrastructure, this position will collaborate closely with Engineering, DevOps, Security, and IT Operations to drive a culture of automation, observability, and continuous improvement across the production ecosystem.

Key ResponsibilitiesCloud Architecture and Engineering Design

Implement and maintain cloud and hybrid infrastructure supporting production workloads, enterprise systems, and CI/CD pipelines. Lead the adoption of infrastructure‑as‑code (IaC) using Terraform, CloudFormation, or similar tools to enable repeatable, auditable, and secure deployments. Architect scalable and fault‑tolerant solutions across OCI, AWS, Azure, and on‑prem data centers, ensuring high availability and cost efficiency. Evaluate emerging cloud services and technologies for applicability to business needs and long‑term scalability goals.

Production Operations and Reliability

Serve as the technical lead for production operations, ensuring uptime, performance, and reliability of customer‑facing and internal systems. Develop and maintain observability frameworks leveraging metrics, logs, and traces to ensure proactive detection and rapid response. Partner with engineering teams to implement SRE‑inspired practices, including service level objectives (SLOs), error budgets, and post‑incident reviews. Drive root cause analysis, performance tuning, and continuous improvement of production services.

Automation and CI/CD Enablement

Collaborate with DevOps and application engineering teams to build and optimize automated deployment pipelines supporting frequent, low‑risk releases. Integrate security and compliance checks into CI/CD workflows to ensure production readiness and alignment with internal standards. Design self‑healing infrastructure and automated rollback mechanisms to reduce operational risk. Ensure secure and reliable configuration management and environment orchestration using tools such as Ansible, Chef, or Puppet.

Operational Governance and Collaboration

Establish and enforce operational best practices for monitoring, patching, and change management across production systems. Lead production readiness reviews for new releases and large‑scale changes. Collaborate with the Security and Compliance teams to ensure systems adhere to policy, hardening standards, and regulatory requirements. Participate in and occasionally lead on‑call rotations for critical production systems, ensuring rapid triage and resolution.

Leadership and Mentorship

Act as a technical mentor to cloud and infrastructure engineers, fostering a culture of knowledge sharing and engineering excellence. Lead architectural reviews, design sessions, and capacity planning discussions. Serve as a trusted advisor to management on cloud modernization, resilience engineering, and cost optimization strategies.

Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s preferred.
  • 10+ years of experience in cloud and infrastructure engineering, including 3+ years in a senior or principal role.
  • Expertise with OCI (preferred), AWS and/or Azure cloud services, including networking, compute, storage, and identity management.
  • Proven experience managing production‑scale environments supporting mission‑critical applications and services.
  • Strong proficiency in Infrastructure‑as‑code (Terraform, CloudFormation).
  • CI/CD and DevOps toolchains (Jenkins, GitLab, ArgoCD).
  • Container orchestration (Kubernetes, Docker).
  • Monitoring and observability platforms (Prometheus, Grafana, Datadog, ELK).
  • Scripting and automation (Python, Bash, PowerShell).
  • Solid understanding of security, compliance, and networking principles in hybrid environments.
  • Exceptional analytical, problem‑solving, and incident management skills.
  • Demonstrated ability to lead complex, cross‑functional initiatives from concept to execution.
Preferred Experience
  • Experience in high‑availability SaaS or networking environments.
  • Knowledge of FinOps, cost optimization, and multi‑cloud governance frameworks.
  • Familiarity with Zero Trust, identity federation, and cloud access security model.
  • Exposure to AI/ML infrastructure or data‑driven pipelines is a plus.
  • AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
Equal Opportunity Employer

A10 Networks is an equal‑opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.

Compensation

Hybrid Targeted compensation guideline: $140,000 - $185,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.

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