Senior DataOps / Cloud DevOps Engineer

About the role

EY GDS is recruiting a DataOps / Cloud DevOps Engineer to join its growing Cloud, Data & AI practice. The engineer works with solution architects, cloud engineers, data engineers, application developers and client stakeholders to build, automate and maintain scalable cloud environments and deployment frameworks. The role covers Infrastructure as Code, CI/CD pipelines, container platforms, monitoring and operational excellence across enterprise environments.

Key responsibilities

• Design, develop and maintain CI/CD pipelines for cloud applications, data platforms and AI solutions.
• Implement and manage Infrastructure as Code (IaC) using Terraform and cloud-native services.
• Deploy, configure and maintain enterprise cloud environments on Azure and/or AWS.
• Build and support Kubernetes-based platforms for containerized workloads and microservices.
• Automate application, infrastructure and data platform deployments across development, testing and production.
• Develop and maintain GitHub Actions workflows and deployment automation frameworks.
• Support CI/CD for cloud-native services such as Azure Functions, Web Apps, APIs, Kubernetes Services and other platform components.
• Implement monitoring, logging, alerting and observability solutions.
• Support security, compliance, identity management, secrets management and governance.
• Contribute to reusable deployment templates, engineering standards and platform automation frameworks.
• Promote DevOps and DataOps best practices, including source control, automated testing, release management and operational excellence.

Required profile

• 3 to 6 years of experience in DevOps, Cloud Engineering, Platform Engineering, DataOps or related roles.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering or a related field.
• Experience designing and maintaining CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD or similar.
• Strong experience with Infrastructure as Code and Terraform.
• Experience with AKS, EKS or other Kubernetes platforms.
• Scripting and automation with Python, PowerShell, Bash or similar.
• Familiarity with enterprise data platforms and analytics ecosystems, and knowledge of cloud-native architectures.
• Understanding of cloud security, networking fundamentals and operational best practices.
• Excellent communication and stakeholder management skills, with a consulting mindset.