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Splunk Jobs in Riverside, CA (NOW HIRING)

Cisco

Principal Machine Learning Engineer

Irvine, CA · On-site

$291.50K - $369.10K/yr

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an endtoend, fullstack platform designed for hybrid, multicloud environments. Join theAI Modelsteam at ...

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sydata

Devops | Linux Admin

Irvine, CA

KAFKA RABBIT MQ OPENSHIFT OR KUBERNETES CONFLUENT SPLUNK Installation, Monitoring, Testing, Configuration, Migration, Maintenance and Troubleshooting of Middleware tools (AppServer, Integration) on ...

sydata

Devops | Linux Admin

Irvine, CA · On-site

MUST HAVE SKILLS: • KAFKA • RABBIT MQ • OPENSHIFT OR KUBERNETES • CONFLUENT • SPLUNK • Installation, Monitoring, Testing, Configuration, Migration, Maintenance and Troubleshooting of ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows across teams.

Quadrant Technologies

Solution Architect

Irvine, CA

$67.50 - $89/hr

Expertise in observability, AI, and solution architecture Potential technology stack for the observability platform - tools like Splunk, Grafana, Datadog Roles & Responsibilities The architects ...

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How much do splunk jobs pay per hour?

As of May 30, 2026, the average hourly pay for splunk in Riverside, CA is $62.78, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $69.23 per hour, depending on experience, location, and employer.

What is a Splunk job?

A Splunk job typically involves monitoring, analyzing, and visualizing machine-generated data using Splunk software. Professionals in this role manage data ingestion, create dashboards, write queries using SPL (Search Processing Language), and optimize system performance. They may also troubleshoot issues, set up alerts, and ensure security compliance. Splunk jobs are common in IT operations, cybersecurity, and data analytics across various industries.

What are the key skills and qualifications needed to thrive in the Splunk position, and why are they important?

To thrive in a Splunk role, you should possess strong analytical skills, experience with data analysis and security monitoring, and a solid understanding of IT infrastructures. Familiarity with the Splunk platform, related modules (such as Enterprise Security or IT Service Intelligence), and certifications like Splunk Core Certified User are highly valued. Problem-solving, attention to detail, and effective communication are key soft skills, especially when collaborating across technical and business teams. These skills are vital for efficiently transforming raw data into actionable insights and supporting organizational security and operational goals.

What are the main day-to-day responsibilities of someone working in a Splunk role?

In a Splunk position, your primary responsibilities typically include designing and maintaining Splunk dashboards, creating and optimizing searches, and setting up alerts for various IT operations and security events. You'll often collaborate with network, security, and operations teams to analyze system logs and investigate incidents or anomalies. Regular tasks may also involve onboarding data sources, fine-tuning system performance, and documenting configurations and processes. This role offers the opportunity to develop your technical skills while playing a key part in your organization's cybersecurity and data-driven decision-making.

What jobs make $3,000 a month without a degree?

Jobs related to Splunk, such as entry-level data analyst or system administrator roles, can sometimes pay around $3,000 per month without requiring a degree, especially with relevant certifications and technical skills. These positions often focus on IT, data management, or cybersecurity tasks and may require knowledge of Splunk software and related tools.
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Splunk jobs near you

Solution Architect / Team Lead - Observability

Volto USA

Irvine, CA • On-site

Contractor

Posted 11 days ago

Job description

Job Overview

We are seeking an experienced Solution Architect / Team Lead to lead the design and implementation of a next-generation Observability and Anomaly Detection Platform leveraging AI-driven capabilities. This platform will support middle-office operations with advanced monitoring, telemetry engineering, anomaly detection, data validation, visualization, and intelligent remediation capabilities.

The ideal candidate will bring deep expertise in enterprise observability, AI/ML integration, and scalable platform architecture using tools such as Splunk, Grafana, Datadog, OpenTelemetry, and modern cloud-native technologies.

This is a strategic leadership role requiring strong architecture skills, technical depth, and the ability to collaborate across engineering, operations, security, and business teams.

Key Responsibilities
  • Design and implement scalable, secure, and cost-effective observability architectures
  • Lead the development of enterprise monitoring and anomaly detection platforms
  • Build and optimize telemetry pipelines for logs, metrics, traces, and events
  • Enable AI/ML-driven anomaly detection, root cause analysis, and automated remediation
  • Integrate observability solutions with business SLAs, SLOs, and reliability objectives
  • Define platform governance, monitoring standards, and operational best practices
  • Collaborate with cross-functional teams including infrastructure, DevOps, security, and business stakeholders
  • Drive platform operationalization, enablement, and adoption across teams
  • Evaluate and implement observability tools such as Splunk, Grafana, Datadog, Prometheus, and OpenTelemetry
  • Ensure platform scalability, security, compliance, and performance optimization
  • Lead architecture reviews, technical design discussions, and implementation strategies
  • Mentor engineering teams and provide technical leadership on observability initiatives
Required Skills & Experience
  • 10+ years of experience in Solution Architecture or Enterprise Platform Architecture
  • Strong expertise in Observability and Monitoring platforms
  • Hands-on experience with:
    • Splunk
    • Grafana
    • Datadog
    • OpenTelemetry
    • Prometheus / ELK Stack
  • Experience building telemetry and monitoring pipelines
  • Strong understanding of AI/ML integration for anomaly detection and AIOps
  • Experience with root cause analysis and intelligent remediation frameworks
  • Expertise in cloud-native and distributed system architectures
  • Strong knowledge of platform security, governance, and operational standards
  • Experience defining SLAs, SLOs, and reliability engineering practices
  • Strong stakeholder management and cross-team collaboration skills
  • Excellent communication and leadership abilities
Preferred Qualifications
  • Experience in AIOps or intelligent observability platforms
  • Exposure to GenAI integration within enterprise monitoring systems
  • Knowledge of Kubernetes, container monitoring, and cloud observability
  • Experience in financial services or middle-office platforms
  • Familiarity with DevOps, SRE, and automation frameworks
Key Skills
  • Solution Architecture
  • Observability Platforms
  • Splunk
  • Grafana
  • Datadog
  • OpenTelemetry
  • AIOps
  • AI/ML Integration
  • Telemetry Engineering
  • Root Cause Analysis
  • Platform Security
  • SLA/SLO Management
  • Cloud Monitoring
  • Enterprise Architecture
  • DevOps & SRE