Azure Cloud Data Platform Engineer | DevOps & Automation

Kyndryl Inc.; United States; Hybrid; USD 140,000 - 200,000; Full time

Job summary

Kyndryl Inc. is seeking an experienced Azure DevOps & Cloud Data Platform Engineer to design, develop, automate, and support enterprise-grade cloud and data platform solutions. You will enable data-driven decisions across the organization and work at the intersection of software, cloud, and data engineering.

You will build scalable, secure Azure-based solutions, automate provisioning with Terraform, and drive DevOps practices while mentoring teammates in a hybrid, collaborative environment.

Qualifications

• Minimum 8+ years of experience in cloud and data platform engineering.
• Proven experience as Azure DevOps Engineer, Cloud Engineer, Platform Engineer, or similar role.
• Hands-on expertise with Microsoft Azure services and cloud-native deployments.
• Experience implementing IaC with Terraform for automated provisioning.
• Extensive experience designing and maintaining CI/CD pipelines and deployment automation.
• Proficiency in Python scripting for automation in enterprise-scale environments.

Responsibilities

• Design, build, and maintain scalable, secure cloud-native solutions on Azure and Databricks.
• Implement and manage IaC (Terraform) and CI/CD pipelines for automated provisioning and delivery.
• Develop automation and platform services using Python, supporting data ingestion and orchestration.
• Collaborate with Data Engineers, Architects, Security, and Product Owners to deliver enterprise capabilities.
• Drive platform governance, reliability, monitoring, and DevOps best practices; mentor teammates.

Skills

Azure DevOps

Python

Terraform

CI/CD

Databricks

Cloud architecture

Security best practices

Tools

Terraform

Azure DevOps

Databricks

Python

Azure

Job description

Kyndryl Inc. is seeking an experienced Azure DevOps & Cloud Data Platform Engineer to design, develop, automate, and support enterprise-grade cloud and data platform solutions. You will enable data-driven decisions across the organization and work at the intersection of software, cloud, and data engineering.

You will build scalable, secure Azure-based solutions, automate provisioning with Terraform, and drive DevOps practices while mentoring teammates in a hybrid, collaborative environment.