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.
<p>We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.</p><p>• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.</p><p>• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.</p><p>• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.</p><p>• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.</p><p>• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.</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 Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data.<br>• Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations.<br>• Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services.<br>• Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality.<br>• Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals.<br>• Assess new data sources, determine their value and fit, and implement effective ingestion approaches.<br>• Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements.<br>• Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning.<br>• Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
We are looking for a Network Engineer II to support enterprise network initiatives and deliver reliable engineering solutions across a diverse portfolio of programs. This long-term contract position is ideal for someone who is detail oriented and can apply strong technical judgment throughout the full engineering lifecycle, from analysis and design through testing and deployment. The role requires an individual who can work with limited supervision, collaborate with stakeholders, and help maintain performance, security, and operational continuity in complex network environments.<br><br>Responsibilities:<br>• Provide network engineering support across multiple programs, ensuring infrastructure solutions align with technical objectives and operational needs.<br>• Participate in the complete system engineering process by translating requirements into network designs, supporting development activities, validating performance, and assisting with implementation.<br>• Assess existing network environments, identify improvement opportunities, and recommend technologies or design changes that strengthen capability, reliability, and security.<br>• Analyze technical issues of moderate complexity, apply sound engineering methods, and resolve problems while balancing schedule, performance, and customer expectations.<br>• Monitor project milestones and service outcomes to help ensure network deliverables are completed on time and in accordance with established standards.<br>• Work closely with customers, internal teams, and peer groups to coordinate activities, communicate technical information clearly, and build cooperation across functions.<br>• Contribute to the refinement of engineering practices, procedures, and policy recommendations that support effective network operations and organizational goals.<br>• Provide guidance to less experienced team members when needed, share technical knowledge, and assist in maintaining consistent execution across assigned tasks.