Senior DataOps & Cloud Platform Engineer

Ernst & Young Advisory Services Sdn Bhd; Buenos Aires; Presencial; ARS 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

EY GDS is actively recruiting a DataOps / Cloud DevOps Engineer to join our Cloud, Data & AI practice in Argentina. You will design, automate, and maintain scalable cloud environments and deployment frameworks that enable reliable delivery of business-critical solutions.

The role collaborates with architects, developers, and client stakeholders to accelerate cloud applications, analytics platforms, and AI solutions through IaC, CI/CD pipelines, Kubernetes, and observability across Azure and AWS

Formación

• 3–6 years of experience in DevOps, Cloud or DataOps roles.
• Bachelor's degree in CS, SE, IT or related field.
• Experience designing CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD or similar.
• Strong IaC experience with Terraform.
• Experience with AKS/EKS or other Kubernetes platforms.
• Scripting in Python, PowerShell, Bash or similar.
• Knowledge of cloud-native architectures and data platforms.
• Excellent communication and stakeholder management.
• Consulting mindset with ability to adapt to client environments.

Responsabilidades

• Design, develop, and maintain CI/CD pipelines for cloud applications, data platforms, and AI solutions.
• Implement and manage 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 deployments across development, testing, and production environments.
• Develop and maintain GitHub Actions workflows and deployment frameworks.
• Support CI/CD for Azure Functions, Web Apps, APIs, Kubernetes Services.
• Collaborate with solution architects, software developers, and data engineers to improve platform reliability and deployment efficiency.
• Implement monitoring, logging, alerting, and observability across cloud platforms.
• Support security, compliance, identity management, secrets management, and governance requirements.
• Contribute to reusable deployment templates and platform automation frameworks.
• Promote DevOps and DataOps best practices.

Conocimientos

DevOps

Cloud engineering

Stakeholder management

Communication

Consulting mindset

Educación

Bachelor's degree in Computer Science

Herramientas

GitHub Actions

Terraform

Azure DevOps

GitLab CI/CD

AKS

AWS EKS

Python scripting

Descripción del empleo

EY GDS is actively recruiting a DataOps / Cloud DevOps Engineer to join our Cloud, Data & AI practice in Argentina. You will design, automate, and maintain scalable cloud environments and deployment frameworks that enable reliable delivery of business-critical solutions.

The role collaborates with architects, developers, and client stakeholders to accelerate cloud applications, analytics platforms, and AI solutions through IaC, CI/CD pipelines, Kubernetes, and observability across Azure and AWS