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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Platform Engineer - Azure Data & AI Platform Engineer - **Company:** U.S. Navy - **Location:** Winchester, VA, United States - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Microsoft Azure, Business Software, Cyber Security, Data as a Services, SQL Azure, Role-Based Access Control, Azure Machine Learning, Azure Data Lake, AI Infrastructure, Data Logging, Azure Data Factory, Infrastructure as Code (IaC), AI Platforms, Information Technology, Elastic Beanstalk, Terraform, Atlassian Bamboo, Key Vault, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/7c5f3878-9547-4236-b5aa-d5c04274134f ## About the Role * Bachelor's degree in computer science, Information Security, or related field, or the equivalent education, training, and experience is desired. * Hands on experience designing, implementing and maintaining Azure Data PaaS services including Azure SQL, Synapse, Data Factory, Databricks, and ADLS Gen2. * Advanced expertise in configuring Azure security and governance using Azure Policy, RBAC, Private Endpoints, and Key Vault. * Experience in Azure cost optimization and capacity planning. * Strong verbal and written communication skills. * Proven ability to manage full-life-cycle IT initiatives. * Working knowledge of Infrastructure as Code (IaC) deployments using Azure Pipelines and/or terraform. Desired Qualifications * Experience with Azure AI services including Azure AI Foundry and AI Projects. * Exposure to AI/ML platform enablement or governance. * Microsoft Azure certifications (Data Engineer, Solutions Architect, or equivalent). ## Description This role will function as a Senior Principal Engineer for Azure Data as a Service (DaaS) and Azure AI Infrastructure team. The position is responsible for researching, evaluating, designing, implementing, and maintaining enterprise Azure Data and AI platform solutions that are secure, scalable, resilient, and cost-optimized. This role requires deep and broad engineering experience with Microsoft Azure Data and Azure AI technology, with expertise in security, governance, and operational excellence., * Apply engineering principles to the design, enhancement, and operation of Azure Data and AI platform services. * Research, procure, deploy, configure, and support Azure Data and AI resources including platform dependencies. * Provide technical leadership in the architecture, design, and development of enterprise Azure Data and AI solutions. * Ensure the security and integrity of system and product solutions through secure-by-design architecture. * Anticipate and adjust for potential impact of platform changes, upgrades, and new service capabilities. * Anticipate, investigate, and resolve data platform performance and reliability issues by collaborating with Azure Infrastructure teams to identify root causes and implement improvements. * Provide guidance and technical support to customers onboarding applications to the Azure platform, assisting with Azure data service selection and usage to enable successful business outcomes * Implement and enhance monitoring, logging, and alerting for Azure Data and AI platforms to support operational excellence and proactive issue detection * Document new platform components and modifications to existing services and publishing standards. * Engineer Infrastructure as Code (IaC) deployments for Azure Data and AI resources. * Present clear, organized, and concise technical information to enable business decisions. * Lead, guide, and mentor less experienced engineers. * Participate in on-call rotation to provide support for business applications during business and off-business hours. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Best Practices for Using GitHub Secrets](https://www.wearedevelopers.com/videos/1214-best-practices-for-using-github-secrets) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Hacking MSSQL on Cloud. 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How I became sysadmin on Azure, AWS, GCP and Alibaba.](https://www.wearedevelopers.com/videos/100339-hacking-mssql-on-cloud-all-of-them-how-i-became-sysadmin-on-azure-aws-gcp-and-alibaba) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Develop enterprise-ready applications for Microsoft Teams with Azure resources on modern web technologies](https://www.wearedevelopers.com/videos/187-develop-enterprise-ready-applications-for-microsoft-teams-with-azure-resources-on-modern-web-technologies) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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