
Advanced Splunk Solutions Engineer
19 hours ago
Job Opportunity:
We are seeking a highly skilled Splunk Engineer with expertise in Splunk platform administration, cloud technologies, networking, DevOps practices, and scripting.
Key Responsibilities:
- Design, deploy, and maintain Splunk infrastructure across on-premise and cloud environments (AWS, Azure, GCP).
- 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 (Python, Shell, PowerShell, etc.) 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:
- 4+ years of hands-on experience with Splunk (Enterprise, ES, ITSI, or Observability Suite).
- Solid understanding of cloud platforms (AWS, Azure, or GCP) 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.).
- Experience with SPL.
- 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.
Preferred Qualifications:
- Splunk Certifications (e.g., Splunk Core Certified Power User, Admin, or Architect).
- Experience with SIEM use cases and security event monitoring.
- Exposure to machine learning and anomaly detection using Splunk.
- Familiarity with REST APIs and integrating third-party applications with Splunk.
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