Cloud Systems Analyst

About the role

The Cloud Systems Analyst will be responsible for developing and maintaining scalable and secure data and AI pipelines using Azure cloud platform and Snowflake administration. The position requires a strong background in DevOps practices and tools, with expertise in CI/CD, automation, and Python scripting.

Responsibilities

• Understand business objectives and problems, identify alternative solutions, perform studies and cost/benefit analysis of alternatives.
• Analyze user requirements, procedures, and problems to automate processing or improve existing computer systems.
• Write detailed descriptions of user needs, program functions, and steps required to develop or modify computer programs.
• Review computer system capabilities, specifications, and scheduling limitations to determine if requested programs or changes are possible within existing systems.
• Provide end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions.
• 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.

Requirements

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

Qualifications

• Must be a US Citizen, Green Card holder, or have an EAD. No H1B visa allowed.