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Splunk Engineer Jobs in South Carolina (NOW HIRING)

Senior Site Reliability Engineer

Lake Wylie, SC

$54.50 - $72.50/hr

Job Summary We are seeking a Senior SRE / DevSecOps Engineer with strong experience in Kubernetes ... Monitor and improve platform reliability using Dynatrace, Splunk, and Grafana. * Develop automation ...

Job Summary We are seeking a Senior SRE / DevSecOps Engineer with strong experience in Kubernetes ... Monitor and improve platform reliability using Dynatrace, Splunk, and Grafana. * Develop automation ...

Job Summary We are seeking a Senior SRE / DevSecOps Engineer with strong experience in Kubernetes ... Monitor and improve platform reliability using Dynatrace, Splunk, and Grafana. * Develop automation ...

Positions focused on leading, advancing, developing, and applying science, technology, engineering ... Proficiency with enterprise cyber tools for vulnerability assessments, SIEM (e.g., Splunk ...

New

Meet the Team Join the Splunk IAM Engineering team. As AI adoption accelerates and autonomous agents are created at unprecedented speed, identity has become a critical control plane for enterprise ...

We are currently seeking a Professional Services Engineer, reporting to the Sr. Manager of ... Implement queries and dashboards in SIEMs - Splunk, Elastic, Humio, etc. * Influence customers and ...

The Network Engineer will be responsible for designing, implementing, and maintaining the ... Splunk, network taps, and load/stress testing • Experience with developing scripts to automate ...

The Staff Information Security Engineer is expected to understand complex technology systems and ... Experience with administration of Splunk, Splunk ES or other SIEM platforms * Familiarity with ...

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Splunk Engineer information

See South Carolina salary details

$64.6K

$115.3K

$161K

How much do splunk engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for splunk engineer in South Carolina is $115,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,819.00 and $131,962.00 per year, depending on experience, location, and employer.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

Is Splunk a good place to work?

Splunk engineers typically work in a technology-focused environment that emphasizes data analysis, security, and system monitoring. The company offers opportunities for skill development with tools like Splunk Enterprise and often provides a collaborative workplace culture. Job satisfaction can vary based on individual roles and team dynamics.

Is Splunk in high demand?

Splunk engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in Splunk, often requiring knowledge of scripting, dashboards, and certifications, leading to strong job growth in this field.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

What are the most commonly searched types of Splunk Engineer jobs in South Carolina?

The most popular types of Splunk Engineer jobs in South Carolina are:

What are popular job titles related to Splunk Engineer jobs in South Carolina?

For Splunk Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in South Carolina look for?

The top searched job categories for Splunk Engineer jobs in South Carolina are:

Infographic showing various Splunk Engineer job openings in South Carolina as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,278 per year, or $55.4 per hour.

Senior Site Reliability Engineer

PB consulting

Lake Wylie, SC

$54.50 - $72.50/hr

Full-time

Posted 10 days ago


Job description

Job Summary

We are seeking a Senior SRE / DevSecOps Engineer with strong experience in Kubernetes, AWS, container platforms, observability, infrastructure automation, and AI-assisted troubleshooting. The role will focus on platform reliability, incident management, SLO/SLI governance, and automation across cloud-native environments.

Roles and Responsibilities
  • Design, maintain, and troubleshoot Kubernetes and container platforms including EKS, ECS, and Docker.
  • Manage AWS services including EC2, ECS, EKS, Lambda, RDS, S3, and IAM.
  • Implement infrastructure automation using Terraform.
  • Monitor and improve platform reliability using Dynatrace, Splunk, and Grafana.
  • Develop automation and troubleshooting scripts using Python and Bash.
  • Lead incident response, root cause analysis, and production issue resolution.
  • Define and govern SLOs, SLIs, and reliability standards.
  • Apply DevSecOps practices across cloud and containerized environments.
  • Leverage AI/LLM tools, including Claude AI, for pipeline troubleshooting and operational problem solving.
  • Improve system availability, performance, scalability, security, and operational efficiency.
Required Skills & Experience
  • 10+ years of experience in SRE/DevOps.
  • Strong experience with AWS cloud services, including ECS, EKS, EC2, Lambda, RDS, S3, and IAM.
  • Hands-on experience with Kubernetes, Docker, EKS, and ECS.
  • Strong experience with Terraform and Infrastructure as Code.
  • Experience with Dynatrace, Splunk, and Grafana.
  • Strong Python and Bash scripting skills.
  • Must have experience using Claude AI or similar AI/LLM tools for pipeline troubleshooting.
  • Strong incident management and production support experience.
  • Experience with SLO/SLI governance and site reliability practices.
  • Strong understanding of DevSecOps, cloud security, automation, and CI/CD.