DevOps Engineer Azure, Snowflake & AI Integration

AgreeYa is a global Systems Integrator and is seeking a highly experienced Senior DevOps Engineer to join our growing team. The ideal candidate will have expertise in DevOps practices, Microsoft Azure, Snowflake administration, AI integration, and cloud automation. This role will be responsible for building scalable, secure, and reliable cloud and data platforms while supporting CI/CD pipelines, infrastructure automation, monitoring, governance, and AI-enabled solutions. The successful candidate will work closely with cross-functional teams to deliver high-performing cloud and data engineering solutions., * Design, implement, and maintain CI/CD pipelines to support application and data platform deployments.

• Build and manage scalable cloud infrastructure on Microsoft Azure.
• Administer and optimize Snowflake environments, including security, access controls, warehouse management, and performance tuning.
• Develop Python-based automation solutions for infrastructure, deployment, and data engineering tasks.
• Implement and support containerized workloads using Kubernetes and Azure Kubernetes Service (AKS).
• Design and maintain cloud-based data pipelines, ETL processes, and data integration solutions.
• Support AI/ML platform integration and AI-enabled data solutions.
• Configure and manage Azure Monitoring, Log Analytics, alerting, dashboards, and observability tools.
• Implement security best practices, governance controls, and role-based access controls (RBAC).
• Analyze business requirements and provide technical recommendations, cost-benefit analysis, and scalable solution designs.
• Collaborate with business stakeholders, architects, developers, and data teams to deliver enterprise cloud solutions.
• Create and maintain technical documentation, operational procedures, and deployment standards.

• 8+ years of experience in DevOps engineering and cloud infrastructure management.
• Strong experience with Azure DevOps, Git, and CI/CD pipeline implementation.
• Hands-on experience with Microsoft Azure cloud services and architecture.
• Expertise in Snowflake administration, including RBAC, security, warehouse management, and performance optimization.
• Proficiency in Python scripting for automation and data engineering activities.
• Experience with containerization and orchestration technologies, preferably Azure Kubernetes Service (AKS).
• Strong understanding of data pipelines, ETL processes, and cloud data integration.
• Knowledge of AI/ML concepts and AI platform integration.
• Experience with Azure Monitoring, Log Analytics, centralized logging, alerting, and security monitoring.
• Familiarity with monitoring, logging, and observability tools.
• Ability to analyze business requirements and develop scalable technical solutions.

Preferred Skills & Experience:

• 3+ years of experience implementing AI-enabled data platforms (Snowflake Cortex, ML pipelines, etc.).
• Experience with Infrastructure as Code (IaC) tools and practices.
• Knowledge of data security, governance, compliance, and risk management frameworks.
• Prior experience supporting public sector or large enterprise environments.
• Exposure to Snowflake AI and Cortex capabilities.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong attention to detail and commitment to operational excellence.
• Excellent communication, collaboration, and documentation skills.

Education Required:

• Bachelor s degree in computer science, Information Technology, Engineering, or a related field.
• Equivalent combination of education and relevant work experience may be considered.

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others.