Job Title

Sr Splunk Engineer

  • Position:
  • Salary: $$60-65
  • Location:
      Remote
  • Work Eligibility: USC, GC, GC-EAD, TN, H1, H4-EAD, OPT-EAD, CPT
  • Job ID: 07077
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Required Skills:

Pandya

130 Active Positions

Job Description

Job Description

Specific responsibilities:

Onboarding, integrating, and automating export of data from various sources into Splunk Enterprise environment
Consulting with larger team to architect, setup, and configure optimal log ingestion, data reporting, and alerting for multiple applications and environments
Design and implement solutions to provide full-stack telemetry data using Splunk for various development teams worldwide and the applications they build and maintain
Troubleshooting Splunk pipeline and other service disruptions in collaboration with various infrastructure, application, and security teams
Develop Splunk saved searches and dashboards for technical teams and customer facing applications across the enterprise
Develop and maintain scripts, playbooks, automated processes, and documentation for systems, services, and processes
Qualifications

3+ years of experience as administrator of a distributed logging solution. E.g. Splunk (Preferable), ELK Stack, or Sumo Logic environments
Experience consuming and integrating REST API’s and SDK’s for products like Okta, Jira, ServiceNow, Infoblox, Imperva
2+ years experience working with CI/CD tools and methodologies, system programming, containers/Kubernetes, and scripting. Python and Regex preferred
Bachelor’s degree in Computer Science, Engineering, or related subject
2+ years of experience working with public cloud products and services; AWS preferred
2+ years of experience with networking concepts (OSI network layers, TCP/IP)
4+ years of experience with Microsoft Windows and Linux operating systems
Effective written and verbal communication skills
Advanced troubleshooting and problem-solving skills
Dependable and flexible with work hours, including nights and weekends as required
Preferred knowledge of Splunk SDK, Splunk Observability, modular inputs, data models, REST API, and Machine Learning concepts

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