Senior DevOps Engineer, Azure Cloud (hybrid)

14678 - Senior DevOps Engineer, Azure Cloud (hybrid) - Austin, TX Start Date: ASAP Type: Temporary Project Estimated Duration: 12 months with possible extensions Work Setting: Hybrid 3 days remote with 2 days (Mondays and Wednesdays) required to be onsite at the location listed above. Only candidates able to relocate as required should apply to avoid removal from future consideration. Required: Availability to work 2 days per week at the Client's site in Austin, TX. Experience with DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines) (8 years). Experience with Microsoft Azure cloud platform (8 years). Experience with Snowflake administration including access control and security (RBAC, least privilege), performance tuning, and warehouse management (8 years). Experience with Python scripting for automation and data engineering tasks (8 years). Experience with Containerization and orchestration (AKS preferred) (8 years). Experience with Data pipelines, ETL processes, and cloud data integration (8 years). Experience with AI/ML concepts and platform integration (8 years). Experience with Azure Monitoring and Log Analytics including centralized logging, alerting, dashboarding, and security monitoring using audit logs and metrics (8 years). Experience with Monitoring, logging, and observability tools (8 years). Preferred: Experience with Implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines) (3 years). Experience with Infrastructure as Code (3 years). Experience with Data security, compliance, and governance frameworks (3 years). Experience with Public sector or large enterprise environments (3 years). Experience with Snowflake AI / Cortex features (2 years). Responsibilities: Provide end-to-end DevOps support including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions. Build scalable and secure data and AI pipelines. Implement CI/CD automation using Python and cloud infrastructure. Ensure efficient deployment, monitoring, and performance optimization. Analyze user requirements, procedures, and problems to automate processing or improve existing computer systems. Confer with personnel of organizational units to analyze current operational procedures, identify problems, and learn specific input and output requirements. Write detailed descriptions of user needs, program functions, and steps required to develop or modify computer programs. #J-18808-Ljbffr