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Cloud Operations Engineer Jobs in California (NOW HIRING)

Aveva

Senior Cloud Operation Developer

Lake Forest, CA · Hybrid

$99K - $214K/yr

As a Senior Cloud Operations Developer you will utilize your experience to continually improve and develop AVEVA's Cloud solutions, including release and deployment processes and pipelines, enhancing ...

AVEVA

Senior Cloud Operation Developer

Lake Forest, CA · On-site

$99K - $214K/yr

As a Senior Cloud Operations Developer you will utilize your experience to continually improve and develop AVEVA's Cloud solutions, including release and deployment processes and pipelines, enhancing ...

PTC

Senior Cloud Operations Manager

San Ramon, CA · On-site

$175K - $210K/yr

Senior Cloud Operations Manager Hybrid-San Ramon, CA What We Do: ServiceMax is the global leader in ... Lead a team of engineers responsible for designing, building, and operating secure, scalable cloud ...

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Cloud Operations Engineer information

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How much do cloud operations engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for cloud operations engineer in California is $123,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $145,600.00 per year, depending on experience, location, and employer.

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

Cloud Operations Engineers often encounter challenges such as ensuring system uptime, managing security across distributed environments, and rapidly responding to incidents. To address these, it's important to implement robust monitoring tools, automate routine tasks, and maintain clear documentation. Collaboration with development, security, and support teams is also key—regular communication helps to proactively identify and resolve potential issues, making the role both dynamic and highly collaborative.

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

To thrive as a Cloud Operations Engineer, you need a solid understanding of cloud platforms (such as AWS, Azure, or Google Cloud), scripting, and systems administration, typically supported by a degree in computer science or a related field. Familiarity with infrastructure-as-code tools (like Terraform or CloudFormation), monitoring solutions, CI/CD pipelines, and relevant cloud certifications is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills in this role. These skills are crucial for ensuring reliable, secure, and efficient cloud operations that support business objectives.

What does a cloud operations engineer do?

Cloud operations engineers use and create cloud-based software and systems to meet their client's needs. As a cloud operations engineer, you collaborate with other cloud operations specialists to design, plan, create, and implement cloud-based software into other operations of a technology company. These applications are designed to streamline operations and make processes more accessible, such as customer support, analysis, or financial reporting. You also work to ensure the plan helps to prevent security breaches and other risks. These positions are usually full-time during regular business hours. Many cloud operations engineers are on the staff of a company's IT department, while others are independent contractors.

What is a cloud operations engineer?

A Cloud Operations Engineer is a professional responsible for managing and maintaining an organization's cloud infrastructure and services. Their main duties include deploying, monitoring, and optimizing cloud systems, ensuring security and compliance, and troubleshooting issues related to cloud resources. They work closely with development and IT teams to ensure seamless operation and scalability of cloud-based applications and services. Cloud Operations Engineers are skilled in cloud platforms such as AWS, Azure, or Google Cloud, and often use automation tools to streamline cloud management tasks.
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What cities in California are hiring for Cloud Operations Engineer jobs? Cities in California with the most Cloud Operations Engineer job openings:
What are popular job titles related to Cloud Operations Engineer jobs in CA? For Cloud Operations Engineer jobs in CA, the most frequently searched job titles are:
Cloud Operations Engineer jobs near you
Infographic showing various Cloud Operations Engineer job openings in California as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $123,792 per year, or $59.5 per hour.

Lead Cloud Engineering and Production Operations Engineer

A10 Networks, Inc.

San Jose, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Lead Cloud Engineering and Production Operations Engineer
This role acts as a hands-on technical lead, driving cloud engineering initiatives, automating infrastructure, and ensuring high-availability and performance across customer-facing systems. The Lead Engineer will collaborate with IT, DevOps, and Software Engineering teams to build secure, scalable environments that support continuous delivery and rapid innovation.
Reporting to the Associate Director of IT and Infrastructure, this position combines deep technical execution with mentoring responsibilities-balancing architectural vision with day-to-day operational excellence.
Key Responsibilities:
Cloud Infrastructure and Engineering
  • Design, deploy, and manage hybrid and cloud infrastructures (OCI, AWS, Azure, on-prem) to support production and enterprise systems
  • Implement infrastructure-as-code (IaC) using Terraform or CloudFormation to ensure repeatable, secure, and automated deployments
  • Develop and maintain CI/CD-ready environments that support rapid build, test, and release cycles for engineering teams
  • Partner with network and security teams to implement resilient, compliant architectures

Production Operations and Reliability
  • Serve as technical lead for production systems, ensuring stability, performance, and scalability
  • Establish monitoring, logging, and alerting frameworks to improve visibility and reduce mean time to detection (MTTD) and resolution (MTTR)
  • Participate in incident response, root cause analysis, and reliability improvement efforts
  • Collaborate with Engineering and SRE teams to define SLIs, SLOs, and performance metrics for critical services

Automation and CI/CD Enablement
  • Develop and enhance deployment pipelines (e.g., Jenkins, GitLab, ArgoCD) to automate software delivery and environment provisioning
  • Embed security, compliance, and testing gates into CI/CD workflows
  • Implement configuration management and orchestration tools such as Ansible, Chef, or Puppet to manage infrastructure at scale
  • Drive efficiency through self-healing systems, auto-scaling, and infrastructure automation

Operational Leadership and Collaboration
  • Lead day-to-day production operations activities, mentoring junior engineers on cloud and reliability best practices
  • Act as a technical bridge between Infrastructure, Security, and Application Engineering teams
  • Contribute to capacity planning, cost optimization, and production readiness reviews
  • Maintain documentation, runbooks, and standard operating procedures for production systems

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
  • 7+ years of experience in cloud and infrastructure engineering, with at least 2-3 years in a lead or senior engineer capacity
  • Deep expertise in OCI (preferred) AWS or Azure (networking, compute, storage, IAM, and monitoring)
  • Proven experience with production-scale operations and hybrid cloud deployments
  • Proficiency in:
    • Infrastructure-as-code (Terraform, CloudFormation)
    • CI/CD and DevOps pipelines (Jenkins, GitLab, ArgoCD)
    • Containers and orchestration (Kubernetes, Docker)
    • Observability tools (Datadog, Prometheus, Grafana, ELK)
    • Scripting languages (Python, Bash, PowerShell)

  • Strong troubleshooting skills and the ability to lead through high-impact incidents
  • Excellent communication and collaboration skills across cross-functional teams

Preferred Experience:
  • Experience supporting high-availability SaaS or production environments
  • Knowledge of FinOps, cloud governance, and cost optimization practices
  • Familiarity with DevSecOps principles, Zero Trust, and automated compliance frameworks
  • Exposure to AI/ML pipeline infrastructure or high-throughput data systems

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.
Why Join Us:
This is a hands-on leadership role for an engineer who thrives at the intersection of cloud architecture, automation, and reliability. As the Lead Cloud Engineering and Production Operations Engineer, you'll have direct impact on how the company delivers, scales, and secures its core technology platforms-enabling speed, stability, and innovation across the enterprise.
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.
#LI-AN1 - Hybrid
Targeted compensation guideline: $110,000 - $155,000. 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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