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Cloud Ops Engineer Jobs in California (NOW HIRING)

Syntricate Technologies

Sr MLop engineer

San Leandro, CA · On-site

$116K - $159K/yr

... with cloud platforms and containerization (Docker, Kubernetes). • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. • Solid understanding of software ...

Spark Tek Inc

Dev Ops Engineer-PlainID

San Jose, CA · On-site

$61.75 - $84.75/hr

... Ops Engineer to manage and maintain their infrastructure and CI/CD pipelines for the PlainID ... Solid understanding of Cloud Platforms (AWS, Azure, or GCP) and infrastructure automation ...

Sage IT Inc

SRE with MLops Platform

Sunnyvale, CA · On-site

$67 - $89/hr

Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud ...

CoStar

Matterport - Senior ML Ops Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

Matterport - Senior ML Ops Engineer CoStar Group is a leading global provider of commercial and ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud ...

Tapcart Inc

AI Ops Engineer - GTM

Santa Monica, CA · On-site

$90K - $140K/yr

We're looking for an AI Ops Engineer to partner with the Founder/CEO and VP Operations to build out ... Bonus if you've touched a modern cloud/data stack (we run on GCP, MongoDB, and ClickHouse) - but we ...

Zensors

ML Ops / Dev Ops Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

About the Role As an ML / DevOps Engineer, you will play a pivotal role in advancing our ... This role requires deep technical expertise not just in cloud-native tools, but also in the ...

Green Dot Corporation

Sr. Systems Engineer

Los Angeles, CA · On-site

$87K - $131K/yr

Collaborate with engineering, DevOps, and InfoSec teams to ensure secure and compliant system ... Expertise in Kubernetes, Linux, administration and Cloud Ops. * Proficiency with cloud platforms ...

Albert Invent

Staff ML Ops Engineer

Oakland, CA · On-site

Our platform helps scientists and engineers build structured data foundations, digitize formulation ... Strong Kubernetes and cloud infrastructure experience * A builder's mindset-you want to create ...

Box

Senior Technical Duty Officer, Cloud Ops

Redwood City, CA · On-site

$135K - $185K/yr

... of cloud operations. You will shape how we improve manageability, observability, and resiliency of ... Partner with SRE and engineering teams to deepen shared knowledge of Box's dependencies, Tier 1 ...

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All JobsCloud Ops Engineer JobsCloud Ops Engineer Jobs in California

Cloud Ops Engineer information

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How much do cloud ops engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for cloud ops engineer 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 ops engineer?

Cloud Ops Engineers, or Cloud Operations Engineers, are IT professionals responsible for managing, monitoring, and maintaining cloud-based infrastructure and services. They ensure cloud platforms run efficiently, securely, and reliably by automating processes, configuring resources, and troubleshooting issues. Cloud Ops Engineers often work with platforms like AWS, Azure, or Google Cloud, and collaborate with development and IT teams to optimize performance and cost. Their role is crucial in supporting business operations that rely on cloud technology.

What are the key skills and qualifications needed to thrive as a cloud ops engineer?

To thrive as a Cloud Ops Engineer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and a solid understanding of networking and security principles—often supported by a relevant degree or certifications like AWS Certified SysOps Administrator. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines is typically required. Strong problem-solving, collaboration, and communication skills help Cloud Ops Engineers quickly address incidents and work effectively with cross-functional teams. These skills ensure reliable cloud environments, efficient deployments, and minimized downtime for critical business operations.

What are some common challenges faced by cloud ops engineers when managing multi-cloud environments?

Cloud Ops Engineers working in multi-cloud environments often encounter challenges such as ensuring consistent security policies across platforms, managing cost optimization, and maintaining high availability. Coordinating deployments and monitoring tools between different providers can be complex, requiring strong documentation and automation skills. Effective collaboration with development, security, and network teams is essential to address these challenges and ensure seamless cloud operations.

What is the difference between Cloud Ops Engineer vs Cloud Engineer?

AspectCloud Ops EngineerCloud Engineer
CredentialsCertifications like AWS Certified SysOps Administrator, Azure Administrator, or Google Cloud Professional Cloud ArchitectSimilar certifications, often including cloud platform-specific certifications
Work EnvironmentFocus on deployment, monitoring, and maintaining cloud infrastructure, often in operational teamsDesigning, developing, and deploying cloud solutions, more project-focused
Employer & Industry UsageUsed in companies with large cloud operations, IT service providers, and cloud service teamsUsed across tech companies, startups, and enterprises building cloud-based applications

While both roles involve cloud technologies, Cloud Ops Engineers focus on managing and maintaining cloud infrastructure, ensuring operational stability. Cloud Engineers primarily design and develop cloud solutions, emphasizing architecture and deployment. Understanding these differences helps in choosing the right career path or job search focus.

Are cloud ops engineers still in demand?

Cloud Ops Engineers are currently in high demand due to the ongoing growth of cloud computing and the need for managing cloud infrastructure, automation, and security. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and monitoring tools, enhance employability in this field.

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

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

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

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

What cities in California are hiring for Cloud Ops Engineer jobs?

Cities in California with the most Cloud Ops Engineer job openings:

Cloud Ops Engineer jobs near you
Infographic showing various Cloud Ops Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,089 per year, or $62.1 per hour.

Sr MLop engineer

Syntricate Technologies

San Leandro, CA • On-site

$116K - $159K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Sr ML Ops Engineer to drive the full lifecycle of machine learning solutions, bridging the gap between data science model development and production-grade ML Ops Engineering. The role involves developing predictive models, maintaining ML pipelines, and automating model training and deployment processes.
Responsibilities:
• Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Qualifications:
Required:
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
• Solid understanding of software engineering principles and DevOps practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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