<p>Overview</p><p>We are seeking a <strong>Senior Cloud & Infrastructure Engineer (Azure)</strong> to lead the design, implementation, and support of secure, scalable, and resilient cloud infrastructure environments. This role is ideal for a hands-on engineer with deep Microsoft Azure expertise and a strong background in production cloud operations, infrastructure reliability, and disaster recovery.</p><p>The Senior Cloud & Infrastructure Engineer will play a key role in building and maintaining modern Azure environments, with a focus on networking, security, identity, backup, and recovery strategies. This individual will collaborate closely with cross-functional teams to ensure cloud platforms are optimized, secure, and aligned with business needs.</p><p>Key Responsibilities</p><ul><li>Design, implement, and support Azure-based infrastructure solutions for production environments</li><li>Manage and optimize cloud infrastructure with a focus on performance, availability, scalability, and security</li><li>Support Azure networking, identity, and security configurations, including private and hybrid connectivity models</li><li>Maintain and enhance backup, recovery, and disaster recovery solutions across cloud infrastructure</li><li>Troubleshoot complex infrastructure and cloud-related issues in production environments</li><li>Partner with application, security, and operations teams to support modern platforms hosted in Azure</li><li>Contribute to infrastructure standards, architecture decisions, and operational best practices</li><li>Implement and support secure cloud designs that align with organizational compliance and security requirements</li><li>Develop and maintain infrastructure automation and repeatable deployment processes where applicable</li><li>Provide technical leadership and guidance on cloud infrastructure strategy and operational excellence</li></ul><p><br></p>
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>$70-75/hr, available solely on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Reston, VA (4x onsite)</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
We are looking for a Systems Engineer to support and enhance a mixed infrastructure environment in Baltimore, Maryland. This role focuses on maintaining stable server operations, strengthening security and access controls, and contributing to cloud-connected solutions across on-premises and Microsoft platforms. The ideal candidate brings hands-on experience with Windows-based systems administration, a strong understanding of core infrastructure services, and a practical approach to reliability and continuous improvement.<br><br>Responsibilities:<br>• Oversee daily administration of Windows and Linux servers to ensure dependable performance, availability, and system health.<br>• Manage core identity and policy services, including Active Directory and Group Policy, while maintaining secure and consistent access controls.<br>• Support and maintain virtual infrastructure across platforms such as VMware and Hyper-V to meet operational and business needs.<br>• Provide technical support for Azure and Microsoft 365 environments, helping maintain connectivity and functionality across hybrid systems.<br>• Contribute to cloud adoption efforts by assisting with hybrid deployments and migration-related infrastructure tasks.<br>• Monitor server performance, patch compliance, and overall platform reliability, taking action to resolve issues before they impact users.<br>• Handle complex troubleshooting for escalated server and infrastructure incidents, identifying root causes and restoring service efficiently.<br>• Strengthen operational resilience by improving automation, backup procedures, and disaster recovery readiness.<br>• Keep technical documentation current and establish configuration standards that promote consistency, security, and scalability.