Senior Systems Engineer

About the Business

Lexis Nexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient.

You can learn more about Lexis Nexis Risk at the link below, Lexis Nexis Risk Solutions | Transform Your Risk Decision Making

As a Senior Systems Engineer, you will design, build, and optimize enterprise endpoint services across device management, provisioning, security, and automation. You will play a key role in modernizing the device experience through zero-touch deployment, analytics-driven improvements, and responsible adoption of AI-assisted engineering capabilities. You will provide technical leadership, define engineering standards, and ensure solutions are scalable, supportable, and aligned with enterprise governance.

• Provide technical leadership for endpoint engineering services across Windows and macOS platforms.
• Establish engineering standards, governance, and best practices aligned with enterprise objectives.
• Serve as the escalation point for complex technical issues, architecture decisions, and service design challenges.
• Design, implement, and optimize endpoint management solutions using Microsoft Intune, Jamf Pro, Entra , Microsoft Graph, and modern management technologies.
• Lead device lifecycle management, including Autopilot, zero-touch deployment, configuration standards, and policy management.
• Develop automation and integrations using Power Shell, Bash, APIs, and orchestration tools to improve service efficiency and consistency.
• Partner with architecture, security, and platform teams to ensure endpoint solutions are secure, scalable, compliant, and operationally effective.
• Drive continuous improvement through telemetry, analytics, proactive remediation, and performance monitoring.
• Maintain accountability for service quality, supportability, platform resilience, and lifecycle management.
• Contribute to governance, risk management, audit readiness, and change control processes.
• Collaborate with Security, Service Desk, ITSM, and engineering teams to implement and support endpoint solutions.
• Translate technical requirements into operational outcomes and drive cross-functional improvements.
• Provide technical mentorship, guidance, and knowledge sharing across the organization.

• Jamf 300 certification.
• 5+ years of experience in Endpoint Engineering, Systems Engineering, or a senior technical support role.
• Strong experience with Microsoft Intune, Jamf Pro, Entra , and enterprise device management.
• Expertise in Windows endpoint management, including Autopilot and device lifecycle management.
• Experience managing macOS devices in enterprise environments.
• Advanced scripting and automation skills using Power Shell, Bash, APIs, and Microsoft Graph.
• Strong understanding of endpoint security, conditional access, compliance policies, and identity management.
• Experience with telemetry, analytics tools (KQL preferred), and data‑driven service improvement.
• Experience designing scalable, resilient, and supportable enterprise solutions.
• Familiarity with ITSM platforms such as Service Now.
• Integrate AI copilots to accelerate scripting, troubleshooting, and engineering efficiency.
• Design agent‑assisted workflows for diagnostics, remediation, and support operations.
• Establish human‑in‑the‑loop controls for AI‑driven actions impacting users or compliance.
• Convert repeatable tasks into governed, scalable automation workflows.
• Evaluate emerging AI agent capabilities for EUC use cases and determine where they fit within service boundaries, approval models, and audit requirements.
• Ensure AI processes are explainable, measurable, and aligned to risk and governance standards.

• Health Benefits:
  
  Comprehensive,…