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We are seeking an experienced Senior DevOps Engineer to support a major cloud modernization initiative for the Texas Health and Human Services Commission (HHSC). This is an exciting opportunity to work with cutting-edge technologies including Microsoft Azure, Snowflake, AI integration, Python automation, and Kubernetes while helping build secure, scalable, and high-performing cloud infrastructure. As part of a collaborative engineering team, you will design, automate, and optimize enterprise cloud platforms that power advanced analytics, artificial intelligence, and large-scale data solutions supporting critical statewide programs.
Job Responsibility
Design, implement, and maintain enterprise DevOps pipelines using Azure DevOps, Git, and CI/CD best practices
Build and manage scalable cloud infrastructure within the Microsoft Azure ecosystem
Administer and optimize enterprise Snowflake environments, including security, governance, and performance tuning
Implement Role-Based Access Control (RBAC), least privilege access, and enterprise security controls
Develop Python automation scripts to streamline deployments, infrastructure management, monitoring, and operational support
Build, deploy, and support enterprise data pipelines and cloud-based ETL processes
Deploy and manage containerized workloads using Kubernetes, with Azure Kubernetes Service (AKS) preferred
Integrate AI capabilities into cloud data platforms, including Snowflake Cortex and AI-enabled data pipelines
Configure Azure Monitor, Log Analytics, dashboards, alerts, and centralized logging to improve observability and operational health
Monitor cloud performance, optimize infrastructure costs, and improve platform reliability
Partner with data engineers, architects, developers, analysts, and AI teams to deliver secure, scalable cloud solutions
Develop automation and infrastructure improvements using Infrastructure as Code (IaC) methodologies
Ensure compliance with enterprise security, governance, and regulatory standards
Requirements
8+ years of hands-on experience with DevOps tools and practices, including Azure DevOps, Git, and CI/CD pipelines
8+ years of experience administering Microsoft Azure cloud environments
Extensive experience administering and optimizing Snowflake, including: Role-Based Access Control (RBAC), Security and governance, Warehouse management, Performance tuning
Advanced Python scripting skills for automation and cloud engineering tasks
Experience with containerization technologies and Kubernetes, preferably Azure Kubernetes Service (AKS)
Strong understanding of enterprise data pipelines, ETL processes, and cloud-based data integration
Experience integrating AI and machine learning capabilities into cloud platforms
Hands-on experience with Azure Monitor, Log Analytics, centralized logging, alerting, dashboards, and operational monitoring
Strong knowledge of monitoring, logging, and observability best practices
Excellent troubleshooting, analytical, and communication skills
Nice to have
Snowflake Cortex and AI-enabled data platforms
Infrastructure as Code (Terraform, Bicep, ARM Templates, or similar)
Cloud security, governance, and compliance frameworks
Public sector, healthcare, or other highly regulated enterprise environments
Enterprise-scale cloud architecture and platform engineering