8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
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.
Required/Preferred
Experience
8
Required
Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
8
Required
Hands-on experience with Microsoft Azure cloud platform
8
Required
Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
8
Required
Proficiency in Python scripting for automation and data engineering tasks
8
Required
Experience with containerization and orchestration (AKS preferred)
8
Required
Knowledge of data pipelines, ETL processes, and cloud data integration
8
Required
Understanding of AI/ML concepts and platform integration
8
Required
Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
8
Required
Familiarity with monitoring, logging, and observability tools
3
Preferred
Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
3
Preferred
Experience with Infrastructure as Code
3
Preferred
Knowledge of data security, compliance, and governance frameworks
3
Preferred
Prior experience in public sector or large enterprise environments
2
Preferred
Strong problem-solving and analytical skills
2
Preferred
Ability to manage multiple priorities in a fast-paced environment
2
Preferred
Attention to detail and commitment to best practices
2
Preferred
Snowflake AI / Cortex features exposure
1
Preferred
Excellent communication and documentation skills
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