<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>
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.