Senior AI OPS Engineer - TS/SCI Clearance

Maania Consultancy Services

$100K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance required at hire.
  • Current IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, SSCP) needed.
  • 7+ years of Splunk Enterprise experience, including architectural design and cluster management.
  • 3+ years implementing AIOps workflows integrated with ITSM solutions like ServiceNow.
  • Experience constructing, testing, and fine-tuning machine learning models with Splunk MLTK.
  • Advanced scripting skills, particularly in Python, for custom commands and automation.
  • Proven leadership skills in managing technical teams and projects.

Responsibilities

  • Design and manage Splunk enterprise architecture for optimal performance.
  • Integrate AIOps solutions with ITSM for automated root cause analysis.
  • Develop and fine-tune machine learning models using Splunk MLTK.
  • Create advanced scripts for command customization and automation.
  • Lead technical working groups, aligning efforts across teams.
  • Communicate design and strategy proposals to technical leadership.
  • Support mission-critical systems within a DoD operations environment.

Benefits

  • Opportunity to work with cutting-edge technology in AIOps and machine learning.
  • Engagement with a collaborative and innovative technical team.
  • Visibility within leadership circles through project presentations.
  • Potential for career advancement in a specialized security environment.
Full Job Description
Clearance: Active TS/SCI

Required Qualifications:
- Security Clearance: Active Top Secret / Sensitive Compartmented Information(TS/SCI) required at time of hire.
- Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
- Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
- AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
- Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
- Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
- Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
- Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
- Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

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