AIOps Engineer SME NM

Sarela Technology Solutions; Albuquerque (NM); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Health insurance

Paid time off

Profit sharing

Tuition assistance

Vision insurance

Job summary

Sarela Technology Solutions seeks a Senior AIOps Engineer to lead the design, deployment, and management of AIOps in secure DoD environments. You will orchestrate Telemetry pipelines across Network Engineering, ServiceNow, and SolarWinds teams to ensure mission-critical systems remain highly available.

You will leverage Splunk ITSI and MLTK to build descriptive and predictive analytics, automate remediation, and maintain cross-domain data integrity in unclassified and classified enclaves.

Qualifications

• Active TS/SCI clearance required.
• 7+ years with Splunk Enterprise (architectural design, cluster mgmt, SPL).
• 3+ years integrating AIOps with ITSM (ServiceNow) for automated remediation.
• Experience building ML models with Splunk MLTK.

Responsibilities

• Lead AIOps platform initiative across Network Engineering, ServiceNow, and SolarWinds teams.
• Architect closed-loop remediation workflows integrating Splunk ITSI with ServiceNow modules.
• Maintain Splunk AIOps across unclassified and classified enclaves for real-time awareness.
• Integrate telemetry from SolarWinds, servers, and applications for holistic health view.
• Develop and deploy ML models via Splunk MLTK to detect anomalies and threats.

Skills

Security clearance

Leadership

Python scripting

MLTK

SPL

Communication

NOC/SOC ops

Tools

Splunk Enterprise

ServiceNow

SolarWinds

ITSI

Python

VMware vCenter

Job description

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Profit sharing
• 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.