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Remote Splunk Engineer Jobs in California (NOW HIRING)

Litmus7 Systems Consulting Inc.

SRE Engineer

San Francisco, CA · Remote

$67.25 - $89.25/hr

USA / REMOTE Key Responsibilities 1. SRE Fundamentals & Reliability Engineering Apply core SRE ... Whether requirements can be fulfilled using Splunk, Dynatrace, or both The most efficient, scalable ...

Cisco

Account Executive, Splunk - FSI

San Francisco, CA · On-site +1

$317K - $401K/yr

This is a remote role for someone based in the greater NYC or San Francisco area Role Summary We ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Cisco

Account Executive, Splunk - FSI

San Francisco, CA · On-site +1

$317K - $401K/yr

This is a remote role for someone based in the greater NYC or San Francisco area Role Summary We ... DevOps, security, business applications, and/or analytics. Subscription, SaaS, or Cloud software ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We are inviting you to join our small, fully remote team of developers and operators helping make ... Monitoring (e.g., Nagios, Datadog , Sentry , Splunk, etc.) * Cloud Computing (e.g., AWS , OpenStack ...

Saxon Global

Senior Software Engineer

San Francisco, CA · Remote

$144K - $190K/yr

Need to understand AWS ecosystem given the issues with tickets might be cloud-related 100% REMOTE ... Splunk * Nest.js This person will need to come up to speed very quickly and be primary support for ...

IDT

DevOps Engineer - Latam

San Jose, CA · On-site +1

$61.75 - $84.75/hr

Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk ... Remote work opportunity! * B2B Employment ($, gross). * Stable job with long-term growth ...

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Showing results 1-20

All JobsSplunk Engineer JobsRemote Splunk Engineer JobsRemote Splunk Engineer Jobs in California

Remote Splunk Engineer information

See California salary details

$32.8K

$117.2K

$172.8K

How much do remote splunk engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote splunk engineer in California is $117,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,922.00 and $137,581.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote Splunk Engineer?

A Remote Splunk Engineer typically manages Splunk deployments, ingests and normalizes data from various sources, and creates dashboards and alerts to support security and operational teams. Daily tasks often include troubleshooting log sources, optimizing search queries, maintaining system health, and collaborating with IT security, DevOps, or infrastructure teams to meet business objectives. Regular communication with stakeholders is also important to understand monitoring needs and proactively address incidents or gaps in visibility. Most remote Splunk engineers use virtual collaboration tools and ticketing systems to organize work and ensure seamless team integration, even from a distance.

What is a Remote Splunk Engineer job?

A Remote Splunk Engineer is responsible for designing, implementing, and managing Splunk solutions while working remotely. They configure data ingestion, create dashboards, optimize system performance, and troubleshoot issues to ensure effective log management and security monitoring. This role often involves working with security teams, DevOps, or IT operations to analyze system performance and detect anomalies. Strong knowledge of Splunk architecture, search queries, and scripting is essential.

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

To thrive as a Remote Splunk Engineer, you need expertise in Splunk architecture, log management, data analysis, and scripting or automation, typically supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Cloud, ITSI, and certifications like Splunk Certified Power User or Admin are highly valued. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These qualifications enable you to efficiently implement security monitoring, deliver actionable insights, and support distributed teams in diverse technical environments.

What are the most commonly searched types of Splunk Engineer jobs in California? The most popular types of Splunk Engineer jobs in California are:
What are popular job titles related to Remote Splunk Engineer jobs in California? For Remote Splunk Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Splunk Engineer jobs in California look for? The top searched job categories for Remote Splunk Engineer jobs in California are:
What cities in California are hiring for Remote Splunk Engineer jobs? Cities in California with the most Remote Splunk Engineer job openings:
Remote Splunk Engineer jobs near you
Infographic showing various Remote Splunk Engineer job openings in California as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $117,215 per year, or $56.4 per hour.

SRE Engineer

Litmus7 Systems Consulting Inc.

San Francisco, CA • Remote

$67.25 - $89.25/hr

Other

Posted 8 days ago

Job description

Location: USA / REMOTE

Key Responsibilities
1. SRE Fundamentals & Reliability Engineering
Apply core SRE principles including:
SLIs, SLOs, SLAs definition and governance
Error budgets and reliability trade-offs
Incident management and postmortems
Partner with SRE L2/L3 teams to improve system reliability and performance
2. Observability Strategy & Tool Recommendation (Core Responsibility)
Act as the central point of expertise for Splunk and Dynatrace capabilities
Analyze requirements provided by:
Application developers
SRE L2/L3 engineers
Research and determine:
Whether requirements can be fulfilled using Splunk, Dynatrace, or both
The most efficient, scalable, and cost-effective implementation approach
Translate business and technical requirements into tool-specific solutions
Recommend best practices, design patterns, and architecture for observability
Continuously evaluate new features and enhancements in Splunk and Dynatrace
3. Splunk Engineering
Design and optimize Splunk-based logging and monitoring solutions
Develop advanced SPL queries, dashboards, and alerts
Define log onboarding strategies and data models
Ensure data quality, governance, and cost efficiency
Provide guidance on when and how to use Splunk effectively
4. Dynatrace Expertise
Configure and optimize Dynatrace for APM, RUM, and synthetic monitoring
Leverage AI-driven anomaly detection and root cause analysis
Map business transactions and critical user journeys
Guide teams on best utilization of Dynatrace capabilities
5. Azure Observability
Implement and integrate monitoring solutions within Microsoft Azure
Work with services such as:
Azure App Services, AKS, Azure Functions
Azure Monitor, Log Analytics, Application Insights
Ensure seamless integration between Azure, Splunk, and Dynatrace
6. Automation & Enablement
Develop automation scripts using Python, PowerShell, or Bash
Enable self-service observability for engineering teams
Integrate monitoring tools with ServiceNow, Jira, or similar platforms
Provide documentation, standards, and reusable templates
7. Collaboration & Advisory
Act as a trusted advisor to developers and SRE teams
Conduct requirement intake sessions and translate them into solutions
Provide training and guidance on observability best practices
Drive adoption of standardized monitoring approaches across teams
Required Qualifications
5+ years of experience in SRE, DevOps, or Observability Engineering
Strong understanding of SRE fundamentals (SLIs, SLOs, error budgets, incident management)
Deep hands-on experience with:
Splunk (log ingestion, SPL, dashboards, alerting)
Dynatrace (APM, RUM, synthetic monitoring)
Strong expertise in Microsoft Azure
Experience supporting large-scale, customer-facing platforms
Proficiency in scripting (Python, PowerShell, or Bash)
Strong analytical and problem-solving skills
Preferred Qualifications
Experience in retail/e-commerce environments
Knowledge of microservices and distributed systems
Experience with AKS, Docker, and containerized environments
Familiarity with additional observability tools (Prometheus, Grafana, ELK)
Certifications in Splunk, Dynatrace, or Azure

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