<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><strong>Data Modeling and Analysis</strong></p><ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul><p><strong>Dashboard Development and Visualization</strong></p><ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
<p>I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
<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>Our client in the Washington, DC region is seeking a talented <strong>Front-End Web Developer (FEWD)</strong> to support ongoing digital initiatives. This role is ideal for a developer who blends clean, modern UI development with strong attention to detail and a passion for building intuitive, responsive user experiences.</p><p>You’ll collaborate with designers, product teams, and back-end developers to bring digital products, websites, and interactive features to life.</p><p><br></p><p><strong> Key Responsibilities</strong></p><ul><li>Develop responsive, accessible, and high‑performance web interfaces</li><li>Translate UI/UX wireframes and design comps into clean, maintainable code</li><li>Build reusable components and front-end libraries</li><li>Collaborate with designers, product managers, and engineering teams</li><li>Optimize applications for speed, scalability, and cross‑browser compatibility</li><li>Maintain and update existing websites, landing pages, and digital assets</li><li>Troubleshoot UI issues and implement front-end best practices</li><li>Ensure compliance with accessibility standards (WCAG, Section 508)</li></ul><p><br></p><p><br></p>
We are looking for a skilled Deployment Technician to join our team in Towson, Maryland, for a long-term contract position. In this role, you will play a vital part in ensuring the smooth deployment and setup of laptops while adhering to established procedures. This opportunity is ideal for professionals with a background in desktop support who excel in both hardware and software troubleshooting.<br><br>Responsibilities:<br>• Prepare and configure 15-20 laptops daily, ensuring each device meets company standards.<br>• Follow detailed standard operating procedures (SOPs) to complete deployment tasks effectively.<br>• Perform basic troubleshooting to resolve hardware-related issues during the setup process.<br>• Identify and address common software problems to ensure seamless functionality.<br>• Utilize deployment tools to streamline the imaging and installation process.<br>• Maintain accurate records of completed deployments and report progress to supervisors.<br>• Collaborate with team members to ensure timely completion of deployment projects.<br>• Provide technical assistance and support as needed during the rollout process.<br>• Inspect and test devices to confirm proper operation before delivery.<br>• Adhere to deadlines and prioritize tasks to meet project goals.
<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>