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Systems Analyst 3
5 days agoWhat's your preference?
Job Description
- Req#: 26-00255
- 8 years of Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
- 8 years' Hands-on experience with Microsoft Azure cloud platform
- 8 years' Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
- 8 years' Proficiency in Python scripting for automation and data engineering tasks
- 8 years' Experience with containerization and orchestration (AKS preferred)
- 8 years' Knowledge of data pipelines, ETL processes, and cloud data integration
- 8 years' Understanding of AI/ML concepts and platform integration
- 8 years' Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
- 8 years' Familiarity with monitoring, logging, and observability tools
- 3 years' Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
- 3 years' Experience with Infrastructure as Code
- Knowledge of data security, compliance, and governance frameworks
- Prior experience in public sector or large enterprise environments
- Strong problem-solving and analytical skills
- Ability to manage multiple priorities in a fast-paced environment
- Attention to detail and commitment to best practices
- Snowflake AI / Cortex features exposure
- Excellent communication and documentation skills
Texas Health and Human Services Commission requires the services of 1 Systems Analyst 3, hereafter referred to as Candidate(s), who meets the general qualifications of Systems Analyst 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
Strong experience in CI/CD, automation using Python, and cloud infrastructure, ensuring efficient deployment, monitoring, and performance optimization.
Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions.
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