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Cloud Monitoring Jobs in California (NOW HIRING)

Northern Base

GCP Cloud Engineer

Sunnyvale, CA · On-site

$65.50 - $87.50/hr

Cloud Monitoring; Cloud Logging; Error Reporting; Trace; Profiler Roles & Responsibilities: * Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL ...

REALIGN LLC

GCP Cloud Engineer

Sunnyvale, CA · On-site

$140 - $190/hr

Cloud Monitoring; Cloud Logging; Error Reporting; Trace; Profiler Roles & Responsibilities: * Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL ...

SmartIPlace

Cloud Developer

Sacramento, CA · On-site

$55 - $60/hr

... and cloud monitoring tools is preferred. Qualification Requirements: Minimum Administrative Qualifications 1. The Respondent must hold a current Information Technology California Multiple Award ...

MegazoneCloud

Azure MSP Cloud Engineer

Irvine, CA · On-site

$100K - $140K/yr

Monitoring & Optimization: Utilize Azure Monitor, Log Analytics, and Application Insights to proactively monitor performance and troubleshoot issues. * Cost Management: Analyze client cloud spend ...

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How much do cloud monitoring jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for cloud monitoring 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 monitoring?

A Cloud Monitoring job involves overseeing cloud-based systems, applications, and services to ensure their availability, performance, and security. Professionals in this role use monitoring tools to track system health, detect anomalies, and respond to incidents in real time. They work closely with IT and DevOps teams to optimize cloud infrastructure, troubleshoot issues, and implement performance improvements. Cloud Monitoring specialists also set up alerts, generate reports, and ensure compliance with service level agreements (SLAs). Strong analytical skills and knowledge of cloud platforms like AWS, Azure, or Google Cloud are essential for success in this role.

What does a cloud monitoring professional do?

A Cloud Monitoring professional is responsible for continuously tracking the health and performance of cloud-based systems using specialized monitoring tools and dashboards. Their daily tasks include responding to alerts, investigating incidents, optimizing system performance, and generating regular status reports. They collaborate closely with DevOps, security, and application teams to address potential issues and plan for capacity requirements. This proactive approach is crucial for minimizing downtime and ensuring smooth, reliable cloud operations.

What are the key skills and qualifications needed to thrive in cloud monitoring?

To thrive in Cloud Monitoring, you need a strong grasp of cloud platforms (such as AWS, Azure, or Google Cloud), network infrastructure, and incident response, often complemented by a degree in computer science or related certifications like AWS Certified Cloud Practitioner or CompTIA Cloud+. Familiarity with monitoring tools like Datadog, New Relic, or CloudWatch, and scripting languages for automation, is typically essential. Excellent analytical skills, attention to detail, and effective communication are key soft skills for success in this role. These qualifications ensure you can proactively detect, troubleshoot, and resolve cloud-based issues to maintain optimal system performance and security.

What is the job description of cloud monitoring?

Cloud monitoring involves overseeing cloud infrastructure and services to ensure performance, availability, and security. Professionals in this role use tools like CloudWatch, Prometheus, or Datadog to track system metrics, identify issues, and optimize resource usage. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, along with scripting skills, is often required.

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

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

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

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

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

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

Cloud Monitoring jobs near you
Infographic showing various Cloud Monitoring job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,089 per year, or $62.1 per hour.

GCP Cloud Engineer

Sunnyvale, CA • On-site

Northern Base
See more jobs at Northern Baseexternal

$65.50 - $87.50/hr

Full-time

Posted 5 days ago

Job description

Job Description
Must Have Technical/Functional Skills:
Compute Engine;  Cloud Run;  App Engine;  Cloud Functions;  Cloud Storage;  Cloud SQL;  Spanner;  BigQuery;  Dataflow;  Dataproc;  Composer;  Pub/Sub; Terraform;  Helm;  Cloud Build;  Artifact Registry;  Git (GitHub/GitLab);  Docker; Python;  Go;  Bash;  SQL;  Kubernetes fundamentals; VPC;  subnets;  Cloud NAT;  Load Balancing;  Private Service Connect;  Cloud Armor (WAF);  VPN/Interconnect;  IAP;  VPC Service Controls;  Org Policies;  KMS;  Secret Manager;  IAM; Cloud Monitoring;  Cloud Logging;  Error Reporting;  Trace;  Profiler
Roles & Responsibilities:
• Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub.
• Build infrastructure as code and CI/CD (Terraform, Cloud Build, Git) with environment promotion and guardrails.
• Implement identity and security controls (IAM, service accounts, Secrets Manager, KMS, org policies, VPC Service Controls).
• Design scalable networking (VPCs, subnets, NAT, load balancers, Private Service Connect) and interconnectivity.
• Establish observability and SRE practices (Cloud Monitoring, Logging, Error Reporting; SLIs/SLOs, alerting, runbooks).
• Develop data platforms and pipelines with BigQuery, Dataflow/Beam, Composer/Airflow, Dataproc; batch and streaming.
• Automate operations with Cloud Functions/Run and APIs; drive reliability, performance, and cost optimization.
• Lead incident response and postmortems; mentor engineers and document standards.