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Systems Engineer

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Ft Belvoir, VA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Architectural Services, Artificial Intelligence (AI), Automation, Cloud Computing, CompTIA Security+, Computer Skills, Cross-Domain Solutions (CDS), Cross-Functional, Data Management, Documentation, Enterprise Architecture, Establish Priorities, Event Management, GSEC - GIAC Security Essentials Certification, Health Insurance, High Availability, Hybrid Cloud, IAT - Information Assurance Technical, IT Service Management (ITSM), Incident Management, Incident Response, Information/Data Security (InfoSec), Internet Security, Leadership, Machine Learning, Machine Tool, Microsoft Windows Azure, Network Architecture/Engineering, Network Operations Center, Network Performance/Analysis, Network Systems, Operational Support, Predictive Modeling, Presentation/Verbal Skills, Protective Services, Python Programming/Scripting Language, Risk Management Framework (RMF), Root Cause Analysis, SSCP - Systems Security Certified Practitioner, Scripting (Scripting Languages), Security Attacks, ServiceNow, Splunk, System Integration (SI), Systems Engineering, Team Lead/Manager, Technical Analysis, Technical Leadership, Technical Support, Telemetry, Testing, Traceability, Training/Teaching, Tuition Fees, United States Citizen, United States Department of Defense (DoD), VMWare vCenter, Vision Plan, Web Infrastructure
LOCATION
Ft Belvoir, VA
POSTED
30+ days ago
Benefits:
  • 401(k)
  • 401(k) matching
  • Bonus based on performance
  • Competitive salary
  • Employee discounts
  • Health insurance
  • Paid time off
  • Profit sharing
  • Training & development
  • Tuition assistance
  • Vision insurance

SarelaTech is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems.

Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams. You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure.

Primary Responsibilities:


  • Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.
  • ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.
  • Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness.
  • Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health.
  • Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations.
  • Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices.
  • Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts.
  • Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO).
  • Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability.
  • Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.
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.
  • Citizenship: United States Citizenship is 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.
Desired Qualifications:
  • Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.
  • Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
  • Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).
  • RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.

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