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Observability Aiops Engineer Jobs in California (NOW HIRING)

Senior AIOpsML Engineer

Woodland Hills, CA ยท On-site

$110K - $151K/yr

As a Senior AIOps ML Engineer, the successful candidate will own the platform's intelligence layer ... multi-domain observability data at petabyte scale. โ€ข Build and maintain robust ingestion ...

Own how models, evaluation pipelines, data workflows, and observability components are designed ... Contributions to AIops/MLOps platforms (MLflow, Kubeflow, Vertex AI) and CI/CD for ML workflows

Senior Network Engineer

El Segundo, CA ยท Hybrid

$110K - $151K/yr

AI-Driven Network Operations (AIOps) : Apply AI/ML and AIOps to network monitoring, anomaly ... Reliability, Monitoring & Observability : Deploy and operate the network monitoring and ...

Senior Network Engineer

Los Angeles, CA ยท Hybrid

$112K - $153K/yr

AI-Driven Network Operations (AIOps) : Apply AI/ML and AIOps to network monitoring, anomaly ... Reliability, Monitoring & Observability : Deploy and operate the network monitoring and ...

Solutions Consultant II

San Francisco, CA ยท On-site

$120K - $150K/yr

Effectively converse and persuade at a technical level with practitioners (SREs, developers, MIMs ... Experience with Observability, AIOPs, Automation, or IT Service Management tools * Experience in ...

Showing results 21-40

Observability Aiops Engineer information

What is an Observability AIOps engineer?

An Observability Aiops Engineer is a technology professional who focuses on implementing and managing observability tools and practices, often leveraging artificial intelligence for IT operations (AIOps). Their role is to ensure system reliability, performance, and uptime by monitoring, analyzing, and automating responses to IT incidents. They integrate data from logs, metrics, and traces to gain real-time insights, helping organizations quickly detect and resolve issues. This role combines expertise in software engineering, monitoring solutions, automation, and machine learning to improve the overall health and efficiency of IT environments.

What are the key skills and qualifications needed to thrive as an Observability AIOps engineer?

To thrive as an Observability AIOps Engineer, you need expertise in systems monitoring, data analytics, automation, and a strong understanding of IT infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Prometheus, Grafana, ELK stack, Splunk, and AIOps platforms, as well as certifications in cloud solutions (AWS, Azure, or GCP), are typically required. Strong problem-solving skills, collaboration, and a proactive mindset help you stand out in identifying and addressing system anomalies. These skills and qualities are crucial for maintaining high system reliability, reducing downtime, and enabling data-driven decision-making in complex IT environments.

What are some common challenges faced by Observability AIOps engineers in integrating monitoring solutions across diverse technology stacks?

Observability AIOps Engineers often encounter challenges when integrating monitoring and analytics tools across a mix of legacy systems, cloud-native applications, and various third-party platforms. Ensuring consistent data collection, normalization, and visualization can be complex due to differing protocols, data formats, and tool compatibility. Collaboration with development, operations, and security teams is crucial to address these challenges, streamline workflows, and maintain a unified observability platform. Staying current with evolving AIOps technologies and best practices is also vital for continued success in this dynamic role.

What is the difference between Observability Aiops Engineer vs Site Reliability Engineer?

AspectObservability Aiops EngineerSite Reliability Engineer
Primary FocusMonitoring, analyzing, and improving system observability using AI and automationEnsuring system reliability, scalability, and performance of services
Skills & CertificationsKnowledge of AI/ML, monitoring tools, scripting, cloud platformsSystems engineering, scripting, cloud infrastructure, incident management
Work EnvironmentDevOps teams, monitoring platforms, AI toolsOperations, development teams, cloud environments
Industry UsageTech companies, cloud providers, organizations focusing on AI-driven monitoringLarge-scale tech firms, SaaS providers, internet services

While both roles focus on system performance and reliability, the Observability Aiops Engineer specializes in leveraging AI and automation to enhance system observability, whereas the Site Reliability Engineer concentrates on maintaining overall system stability and scalability. Both roles often collaborate but have distinct core responsibilities.

What are popular job titles related to Observability Aiops Engineer jobs in California?

For Observability Aiops Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Observability Aiops Engineer jobs in California look for?

The top searched job categories for Observability Aiops Engineer jobs in California are:

What cities in California are hiring for Observability Aiops Engineer jobs?

Cities in California with the most Observability Aiops Engineer job openings:

Infographic showing various Observability Aiops Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Lead Principal Cloud Technical Architect - GCP

Recruit XL

Irvine, CA โ€ข On-site

$130/hr

Full-time

Posted 21 days ago


Job description

***GCP Lead Principal Cloud Architect****

Long Consultant position in Irvine, BUT, this job is 100% ONSITE!!!

We are looking for a GCP expert!!! We are NOT looking for an AWS or AZURE Architect. GCP is the answer...


We are seeking a senior, client-facing Lead Principal Cloud Architect to serve onsite in Irvine, CA as a trusted CTO-style advisor to the client. The role will define, govern, and communicate enterprise cloud, application, security, and infrastructure architecture strategy across multi-cloud and hybrid environments.


  • Formal architect-level cloud certifications: Google Professional Cloud Architect, Microsoft Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, or comparable credentials.
  • Experience leading or materially supporting a Cloud Center of Excellence, Enterprise Architecture review board, Design Authority, or comparable architecture governance model.
  • Experience with application modernization patterns including containers, Kubernetes/GKE/AKS/EKS, microservices, API management, serverless, event-driven architecture, and platform engineering.
  • Experience with cloud security architecture, CSPM/CWPP, SIEM integrations, SASE/SSE concepts, Zero Trust, and regulatory/compliance frameworks such as ISO 27001, SOC 2, SOX, GDPR, HIPAA, PCI, or equivalent client-specific controls.
  • Experience with FinOps, cloud cost optimization, chargeback/showback, tagging strategy, budget guardrails, and cloud economics.
  • Experience with observability, AIOps, SRE practices, resilience engineering, DR/BCP, performance engineering, and Day-2 managed-service operating models.
  • Familiarity with enterprise infrastructure services such as identity providers, DNS, DHCP, PKI, network connectivity, data center modernization, and hybrid integration.
  • Familiarity with enterprise frameworks such as TOGAF, ITIL, NIST, CSA CCM, Well-Architected frameworks, or comparable industry standards.
  • Trusted-advisor consulting experience with ability to identify, shape, and qualify downstream project, consulting, and transformation opportunities.

Company Description

For over a decade, Recruit XL has provided hiring and staffing services to clients in the technology and industrial sedctor. Our proven hiring strategies have placed hundreds of employees with established and trusted companies throughout North America on contract, contract-hire, and direct hire.