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:
- 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
Preferred:
- 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
