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Job Description: 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 Skill:
10 Years of Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
8 Years of Hands-on experience with Microsoft Azure cloud platform
8 Years of Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
8 Years of Proficiency in Python scripting for automation and data engineering tasks
8 Years of Experience with containerization and orchestration (AKS preferred)
8 Years of Knowledge of data pipelines, ETL processes, and cloud data integration
8 Years of Understanding of AI/ML concepts and platform integration
8 Years of Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
8 Years of Familiarity with monitoring, logging, and observability tools
Preferred Skills:
3 Years of Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
3 Years of Experience with Infrastructure as Code
3 Years of Knowledge of data security, compliance, and governance frameworks
3 Years of Prior experience in public sector or large enterprise environments
2 Years of Strong problem-solving and analytical skills
2 Years of Ability to manage multiple priorities in a fast-paced environment
2 Years of Attention to detail and commitment to best practices
2 Years of Snowflake AI / Cortex features exposure
1 Year of Excellent communication and documentation skills
Job Description: 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 Skill:
10 Years of Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
8 Years of Hands-on experience with Microsoft Azure cloud platform
8 Years of Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
8 Years of Proficiency in Python scripting for automation and data engineering tasks
8 Years of Experience with containerization and orchestration (AKS preferred)
8 Years of Knowledge of data pipelines, ETL processes, and cloud data integration
8 Years of Understanding of AI/ML concepts and platform integration
8 Years of Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
8 Years of Familiarity with monitoring, logging, and observability tools
Preferred Skills:
3 Years of Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
3 Years of Experience with Infrastructure as Code
3 Years of Knowledge of data security, compliance, and governance frameworks
3 Years of Prior experience in public sector or large enterprise environments
2 Years of Strong problem-solving and analytical skills
2 Years of Ability to manage multiple priorities in a fast-paced environment
2 Years of Attention to detail and commitment to best practices
2 Years of Snowflake AI / Cortex features exposure
1 Year of Excellent communication and documentation skills