<p>We are seeking an experienced IT Monitoring & Observability Engineer to support enterprise monitoring, performance, and availability across a complex IT environment. This role is responsible for managing and optimizing a unified monitoring and event management platform, driving actionable insights, improving alert quality, and supporting 24x7 operations.</p><p>The ideal candidate has strong hands‑on experience with OpenText Operations Bridge Manager (OBM) and related monitoring tools, deep knowledge of infrastructure monitoring, and a solid understanding of ITIL/ITSM practices.</p><p><br></p><p>Key Responsibilities</p><ul><li>Support and manage a unified Configuration Management Database (CMDB), ensuring accuracy and standardization</li><li>Collect, aggregate, and analyze monitoring and performance data to support ITIL processes including:</li><li>Configuration</li><li>Event</li><li>Capacity</li><li>Availability</li><li>Demand</li><li>Incident and Problem Management</li><li>Assess, tune, and optimize monitoring capabilities to deliver accurate, actionable alerts for 24x7 operations teams</li><li>Design, create, and maintain intuitive dashboards showing real‑time and historical service health and performance</li><li>Configure, maintain, and optimize monitoring dashboards across diverse infrastructure components</li><li>Deploy, manage, and update Management Packs, connectors, and monitoring policies</li><li>Perform event correlation, suppression, and filtering to reduce alert noise and improve incident triage</li><li>Integrate data from third‑party monitoring tools into a centralized event console</li><li>Conduct proactive performance and availability monitoring, identify root causes, and implement preventive measures</li><li>Support continuous improvement of monitoring strategy, tooling, and operational effectiveness</li></ul>
<p>Robert Half is seeking a Senior Software Engineer with AI‑enabled development experience to support the modernization of a real-time, high-availability air traffic management platform. This role offers the opportunity to work on safety-critical systems that directly support national airspace operations in a collaborative, mission-driven environment.</p><p>You will contribute to the development and sustainment of complex software systems using both traditional systems engineering practices and AI‑augmented development techniques throughout the Software Development Life Cycle (SDLC).</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems</li><li>Apply AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation</li><li>Utilize AI responsibly across the full SDLC including:</li><li>Requirements analysis</li><li>System design</li><li>Implementation</li><li>Testing</li><li>Documentation</li><li>Code review</li><li>Analyze complex system requirements and translate them into efficient, maintainable software designs</li><li>Develop and maintain automation scripts across development, test, and production environments</li><li>Promote code quality, reuse, traceability, and cross-team collaboratio</li></ul>
<p><strong>Locations:</strong> Gaithersburg, MD • Eagan, MN • Egg Harbor, NJ</p><p><strong>Schedule:</strong> Hybrid (3 days onsite / 2 days remote)</p><p><strong>Clearance:</strong> Ability to obtain and maintain Public Trust (U.S. Citizenship required)</p><p><strong>Overview</strong></p><p>We are seeking a Junior Software Engineer with AI-enabled development experience to support a large-scale modernization program involving real‑time, high‑availability, safety‑critical systems. This role combines traditional software engineering with emerging AI‑augmented development techniques to enhance delivery, code quality, and system performance.</p><p>This position is ideal for engineers who actively apply AI in their day‑to‑day workflow and want to contribute to a mission-critical, complex engineering environment.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems.</li><li>Use AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation.</li><li>Apply responsible AI practices across the full SDLC — requirements, design, implementation, testing, documentation, and code review.</li><li>Analyze complex system requirements and translate them into efficient, maintainable designs.</li><li>Develop and maintain automation scripts across development, test, and production environments.</li><li>Promote code quality, reuse, traceability, and cross-team collaboration.</li></ul>