Cloud Computing Engineer

Job ID T2600387Location Chantilly, VA, USDate Posted 2026-04-28Category Engineering and SciencesSubcategory Systems EngineerSchedule Full-TimeShift Day JobTravel Yes - 10% of the timeMinimum Clearance Required TS.SCI_wPolyClearance Level Must Be Able to Obtain NonePotential for Remote Work ORA_ON_SITEDescriptionSAIC seeks a Cloud Computing Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers. We support development and delivery of next generation and generation after next national security systems based on land, at sea, in air, and in space. The Cloud Computing Engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational cloud-based architectures. This position provides Systems Engineering & Technical Advisory (SETA) support services.Job DescriptionUnderstanding of and experience with commercially available cloud computing services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) and emerging cloud services. Expertise with cloud computing services and architectures.Expertise developing and maintaining cloud computing environments.Working knowledge of the security considerations, best practices, and implementation associated with cloud computing services and architectures.Provide recommendations for cloud development strategies, adoption of commercial cloud services, solution architecture, and application and data migration.Active member of enterprise R&D, learning, and innovation environment creating, gathering, and sharing knowledge to grow organizational competency and capability.Support researchers and users on using cloud computing, integration of application and libraries, and problem resolution.Understanding of current artificial intelligence (AI) and machine learning (ML) offerings and research.QualificationsRequired QualificationsActive TS/SCI clearance with Poly.Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of 11 years of relevant work experience or 8 years with master’s degree.Experience with two or more cloud service providers (AWS, Azure, Google, etc.).Working knowledge of networks, compute, storage, virtualization, design and architecture across multiple fabrics (classification levels).Proven experience with UNIX and Windows operating systems and commands.Experience with applications used in research such as Python and Jupyter Lab.Proven self-starter.Desired QualificationsAbility to describe complex cloud computing architecture concepts and configurations to non-technical audiences.Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint).Critical thinking, problem-solving, and analytical skills.Interpersonal and communication skills for written reports, group discussion, and oral presentations.Working experience in the IC or DoD.