Splunk Engineer

Overview

Remote
$50 - $53
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Splunk
Microsoft Azure
Kubernetes
XML
Use Cases
JSON
Python
Communication
Amazon Web Services

Job Details

We are seeking a highly skilled Splunk Engineer with expertise in Splunk platform administration, cloud technologies, networking, DevOps practices, and scripting. This role is responsible for developing, deploying, and maintaining Splunk solutions across enterprise environments to support operational intelligence, security, and compliance needs.

Key Responsibilities:

  • Design, deploy, and maintain Splunk infrastructure across on-premise and cloud environments (AWS, Azure, Google Cloud Platform).
  • Create custom Splunk dashboards, alerts, and reports tailored to business and operational needs.
  • Integrate Splunk with various data sources, including applications, servers, network devices, and cloud services.
  • Collaborate with DevOps teams to implement monitoring and alerting for CI/CD pipelines and microservices.
  • Develop and maintain scripts for automation, data parsing, and onboarding.
  • Optimize Splunk performance and indexer/search head clustering.
  • Troubleshoot issues related to data ingestion, parsing, and visualization.
  • Implement role-based access control and maintain security compliance across Splunk environments.
  • Support network visibility and threat detection use cases using Splunk and third-party integrations.

Required Skills & Qualifications:

  • 5+ years of hands-on experience with Splunk Enterprise, Suite).
  • Solid understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) and experience deploying Splunk in cloud environments.
  • Strong foundation in networking concepts (TCP/IP, DNS, VPN, Firewall, Load Balancers etc.).
  • Experience with DevOps tools (Git, Jenkins, Docker, Kubernetes, Terraform, etc.).
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Experience onboarding structured and unstructured data from various sources.
  • Familiarity with log formats and data parsing (JSON, XML, syslog, etc.).
  • Strong problem-solving skills and ability to work independently or as part of a team.
  • Excellent communication and documentation skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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