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All Domain Anomaly Resolution information

What is the difference between All Domain Anomaly Resolution vs Network Security Analyst?

AspectAll Domain Anomaly ResolutionNetwork Security Analyst
Required CredentialsCertifications like CISSP, CEH, or network-specific trainingCertifications such as CompTIA Security+, CISSP, or Cisco CCNA Security
Work EnvironmentFocuses on monitoring and resolving anomalies across multiple domains and systemsPrimarily monitors and protects network infrastructure and security
Employer & Industry UsageUsed in cybersecurity, IT operations, and incident response teamsCommon in cybersecurity, IT departments, and enterprise networks

All Domain Anomaly Resolution specialists focus on identifying and resolving irregularities across various digital domains, ensuring system integrity. Network Security Analysts primarily protect network infrastructure from threats. While both roles involve cybersecurity skills and certifications, All Domain Anomaly Resolution has a broader scope across multiple systems, whereas Network Security Analysts concentrate on network-specific security measures.

What skills and qualifications are needed to thrive as an all domain anomaly resolution analyst?

To thrive as an All Domain Anomaly Resolution analyst, you need expertise in data analysis, intelligence gathering, and cross-domain situational assessment, typically supported by a background in military, intelligence, or related technical fields. Familiarity with analytical software, classified information management systems, and intelligence reporting platforms is essential. Strong critical thinking, attention to detail, and effective communication skills enable analysts to interpret ambiguous data and collaborate across agencies. These competencies are crucial for accurately identifying, investigating, and resolving potential threats or anomalies across multiple operational domains.

What are the typical challenges faced by professionals working in all domain anomaly resolution, and how can they be addressed?

Professionals in All Domain Anomaly Resolution often encounter challenges such as rapidly evolving threats, large volumes of complex data from multiple sources, and the need for timely, coordinated responses across different domains (air, space, cyber, etc.). Success in this role often depends on strong analytical skills, the ability to work collaboratively with multidisciplinary teams, and continuous learning to stay current on emerging technologies and tactics. Developing effective communication channels and leveraging advanced data analysis tools can help address these challenges and improve response times.

What is all domain anomaly resolution?

All Domain Anomaly Resolution (ADAR) refers to a multidisciplinary approach used by organizations, particularly within the U.S. Department of Defense and intelligence community, to identify, analyze, and resolve unexplained phenomena or anomalies that occur across multiple operational domains such as air, space, land, sea, and cyberspace. The goal is to enhance national security by understanding the nature and origin of these anomalies, which can include unidentified aerial phenomena (UAPs) or unexplainable technological activities. ADAR programs often coordinate between various agencies to gather data, investigate incidents, and recommend policy or procedural changes based on their findings.
What are popular job titles related to All Domain Anomaly Resolution jobs in Ohio? For All Domain Anomaly Resolution jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching All Domain Anomaly Resolution jobs in Ohio look for? The top searched job categories for All Domain Anomaly Resolution jobs in Ohio are:
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Infographic showing various All Domain Anomaly Resolution job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Observability SME (SolarWinds) - Seattle, Alpharetta or Cincinnati

Digital Technology Solutions

Cincinnati, OH • On-site

Other

Posted 11 days ago

Job description

DTS is looking for Observability SME (SolarWinds) for our Client position based in Seattle, Alpharetta or cincinnati

Job Description

Overview:

Observability & Enterprise Monitoring Engineer with specialized expertise in SolarWinds platform administration and broader multi-tool observability ecosystems. Working knowledge of OpenText NNMi will be an added advantage. This role will be responsible for the end-to-end administration, optimization, integration, and operational maintenance of enterprise-scale implementation of monitoring solutions (SolarWinds). Responsible for ensuring platform health, automate alert workflows, manage hybrid/cloud monitoring integrations, and collaborate closely with cross-functional infrastructure teams to maintain high availability and performance.

Roles & Responsibilities:
  1. Platform Administration & Lifecycle Management (SolarWinds)
  • Core Module Management: Administer and optimize SolarWinds modules including NPM, NCM, NTA, SAM, and the broader Orion / SWOSH (Hybrid Cloud Observability) platform ecosystem.
  • Upgrades & Maintenance: Perform routine and major version updates across platform components; monitor platform health using Active Diagnostics and My Deployment health checks.
  • Polling Infrastructure: Manage, scale, and load-balance Additional Polling Engines (APEs) to ensure optimal performance across enterprise environments.
  • Database & Backup Operations: Perform operational tasks on the underlying MS SQL Database, manage, schedule, and verify configuration and database backup jobs.
  1. Network & Device Observability Operations
  • Discovery & Asset Management: Execute network discoveries, manage node onboarding/offboarding, assign Universal Device Pollers (UnDP), and maintain custom custom attributes and group hierarchies.
  • Configuration Management (NCM): Build and maintain NCM command templates, automate daily startup/running config backups, archive config files, and remediate compliance/transfer failures.
  • Topology & Visualization: Create and maintain dynamic, accurate network topology maps using Network Atlas and modern visual canvases based on operational requirements.
  1. Alerting, Dashboarding & ITSM Integration
  • Signal Optimization: Design, tune, and maintain custom Alert Triggers, Actions, and Thresholds to eliminate alert noise and drive actionable alerting.
  • Ticketing & Automation: Configure bi-directional ITSM/ticketing integrations to enable automatic ticket creation, routing, and lifecycle tracking.
  • Reporting & Visibility: Build custom operational and executive Dashboards, Views, and Reports tailored to stakeholder requirements.
  • Incident Support: Monitor alert channels for operational anomalies, troubleshoot lingering telemetry issues, and collaborate with domain teams to drive root cause resolution.
  1. AIOps Operations
  • Leverage AIOps, machine learning, and pattern-recognition capabilities to identify baseline anomalies, reduce event noise, and drive predictive incident management.
  • Collaborate with cross-functional teams to integrate AI-driven event correlation models and automated remediation workflows into the central monitoring platform.
  1. Integration, Vendor Coordination
  • Manage relationships and support escalations with platform vendors.
  • Work on REST API integrations across applications/tools as per requirements.
  1. Operational Troubleshooting & Diagnostics
  • Perform deep-dive troubleshooting and root-cause analysis for platform-level performance degradations, engine polling failures, and monitoring agent corruptions.
  • Utilize Active Diagnostics and system telemetry to investigate and resolve complex network configuration transfer failures, polling sync latency, and data ingestion issues.
Required Skills:
  • Multi-tool expertise (SolarWinds, OpenText NNMi, Splunk, etc.)
  • Protocol & Telemetry Knowledge: In-depth understanding of SNMP (v2c/v3), WMI, WinRM, Syslog, NetFlow/sFlow, and Observability (Metrics, Logs, Traces).
  • Automation & API Integration: Good to have skills in PowerShell/Python, and API-driven automation for monitoring workflows.
  • AIOps & Intelligent Automation: Basic understanding of AIOps concepts, machine learning algorithms for anomaly detection, automated event correlation, and predictive analytics within modern observability frameworks.
  • Cloud & Hybrid Observability: Hands-on experience extending platform monitoring into AWS, Azure, or Google Cloud Platform environments.
  • Infrastructure Knowledge

o   System Administration: Intermediate knowledge of Windows and Linux administration.

o   Database: Understanding of SQL/Database concepts and standard query execution.

o   Networking: Good understanding of networking concepts including TCP/IP, DNS, DHCP, Routing and Switching.

o   ITSM: Experience in ITSM processes and operational support.

DTS offers excellent compensation package.

Contact:

Karun Sharma

Team Lead

Digital Technology Solutions (DTS)

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