GDIT is seeking a Cloud Engineer Principal to support our internal GDIT Internal Government Cloud Azure and Oracle environments. In this role, you will help maintain the reliability, security, and performance of our cloud systems using infrastructure as code while working closely with cross functional teams across the organization. This position is ideal for someone with strong operational awareness, attention to detail, and a passion for coding and cloud technologies. MEANINGFUL WORK AND PERSONAL IMPACT As a Cloud Engineer Principal supporting internal GDIT operations, you will be trusted to work in our enterprise cloud environment and develop better processes through automation. In this role, a typical day will include: Work as part of a highly technical engineering team responsible for Azure cloud infrastructure, application support, and day to day cloud operations. Support development of automation and operational tooling for Azure environments, with secondary support for Oracle Government Cloud. Participate in building, testing, and deploying cloud-based solutions, including serverless applications and containerized workloads. Build, maintain, and optimize infrastructure-as-code solutions that support applications, architecture, and platform services. Collaborate closely with Application, Cybersecurity, and Server/Infrastructure teams to ensure a secure, resilient, and fully automated cloud environment. Manage cloud infrastructure deployments, compliance controls, and configuration management through code and automation frameworks. Use Python, PowerShell, Visual Studio Code, Git, and Azure DevOps CI/CD pipelines to design and deliver repeatable, scalable solutions. Design, automate, deploy, test, and monitor cloud-native applications, compliance tooling, and operational workflows using both off the shelf and custom-developed solutions. Provide Tier III cloud infrastructure support for internal stakeholders, external customers, and vendor partners, rapidly diagnosing and resolving issues. Work across a broad set of Azure and Oracle services including serverless technologies, containers (Docker, Kubernetes), and Azure AI/ML services, leveraging related APIs.
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Job Type
Full-time
Career Level
Principal
Number of Employees
5,001-10,000 employees