Senior DataOps / Cloud DevOps Engineer

About the role

EY GDS is seeking a senior DataOps / Cloud DevOps Engineer to join its Cloud, Data & AI practice. You will work with solution architects, cloud engineers, data engineers and developers to build, automate and maintain scalable cloud environments for business‑critical solutions.

Key responsibilities

• Design, develop and maintain CI/CD pipelines for cloud applications, data platforms and AI solutions.
• Implement Infrastructure as Code using Terraform and cloud‑native services.
• Deploy, configure and manage enterprise environments on Azure and/or AWS, including Kubernetes (AKS/EKS).
• Automate deployments across development, testing and production using Python, PowerShell or Bash.
• Develop GitHub Actions workflows and support CI/CD for Azure Functions, Web Apps, APIs and other cloud services.
• Implement monitoring, logging, alerting and observability across platforms.
• Support security, compliance, identity and secrets management.

Required profile

• 3‑6 years of experience in DevOps, Cloud Engineering, Platform Engineering or DataOps.
• Bachelor’s degree in Computer Science, Software Engineering, IT or related field.
• Strong communication and stakeholder management skills with a consulting mindset.

Required skills

• Terraform
• Azure and/or AWS cloud platforms
• Kubernetes (AKS, EKS)
• CI/CD tools: GitHub Actions, Azure DevOps, GitLab CI/CD
• Scripting: Python, PowerShell, Bash
• Infrastructure as Code concepts
• Cloud security and networking fundamentals