Design, implement, and monitor secure, scalable Azure cloud environments that enable data, AI/ML models, and application platforms to operate reliably at enterprise scale. Define cloud standards, reference architecture, reusable patterns, and governance models that guide engineering implementation across the team. Collaborate with data scientists and engineers to ensure seamless integration of models into production. Architect Azure compute, networking, storage, IAM, and security configurations, ensuring proper segmentation, performance, compliance, and alignment with mission needs. Design and implement modular Infrastructure as Code (IaC) for repeatable deployments. Ensure Security-by-Design (SbD) through IAM, network segmentation, compliance and governance standards. Monitor cloud environments for performance and reliability. Maintain standard uptime and develop disaster recovery strategies. Troubleshoot infrastructure issues and optimize system performance. Stay current with emerging cloud technologies and recommend improvements. Provide technical guidance and mentorship to team members. Develop trusted relationships with clients by understanding their mission, challenges, and goals, and delivering tailored solutions that drive innovation in AI/ML and data science.
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Job Type
Full-time
Career Level
Mid Level