Description

You will own the design, implementation, and maintenance of enterprise DevOps solutions, cloud infrastructure, and automated deployment pipelines on Microsoft Azure. This role supports large-scale data modernization and AI/ML integration initiatives.

This role is hybrid.

Responsibilities

• Design and maintain scalable, secure cloud infrastructure using Microsoft Azure services.
• Develop, optimize, and manage CI/CD pipelines using Azure DevOps and Git-based workflows.
• Administer and optimize Snowflake environments, including warehouse management, performance tuning, and cost optimization.
• Implement and manage Snowflake security frameworks, including RBAC, access controls, and least-privilege models.
• Deploy, manage, and monitor containerized applications using Azure Kubernetes Service (AKS) and Docker.

Required Skills

• Minimum 8-10 years of professional experience in DevOps engineering, cloud infrastructure, and automation.
• Strong hands-on experience with Microsoft Azure cloud services.
• Extensive experience with Azure DevOps, Git, and CI/CD pipeline implementation.
• Advanced Python scripting and automation experience.
• Proven experience administering Snowflake, including RBAC, security management, and performance tuning.
• Strong experience with containerization and orchestration technologies, specifically Azure Kubernetes Service (AKS) and Docker.
• Experience developing and supporting data pipelines and ETL processes.

Preferred Skills

• Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM Templates, or Bicep.
• Experience implementing AI-enabled data platforms, including Snowflake Cortex and machine learning pipelines.

Key Skills

Education

Any Graduate