DevOps Engineer, Sr with Azure - MTY
Skills
About the role
We're Hiring: DevOps Engineer | Hybrid – Monterrey, Mexico
At Globant, we help organizations accelerate their cloud transformation through automation, platform engineering, and modern DevOps practices. We are looking for a talented DevOps Engineer to join a global engineering team focused on infrastructure automation, CI/CD, cloud operations, and platform reliability.
This is a hybrid opportunity based in Monterrey, Nuevo León, working on enterprise-scale cloud environments and modernization initiatives.
What We're Looking For
Required Skills
Strong experience working with public cloud platforms such as Azure, AWS, or GCP
Hands-on experience with Infrastructure as Code tools such as Terraform
Experience with configuration management and automation tools such as Ansible
Strong scripting skills using Bash, PowerShell, Python, or similar technologies
Experience designing and maintaining CI/CD pipelines
Strong understanding of Git workflows and version control practices
DevOps & Cloud Engineering
Kubernetes and container orchestration experience
Experience with cloud networking, security, and identity management
Knowledge of cloud-native architectures and operational best practices
Familiarity with deployment automation and platform engineering concepts
Monitoring & Operations
Experience with observability and monitoring platforms such as:
Datadog
Azure Monitor
CloudWatch
Prometheus
Grafana
Application Insights
Nice to Have
Experience with Azure DevOps, GitHub Actions, Jenkins, or similar tools
Experience with AKS, EKS, or GKE
Knowledge of cloud governance, security controls, and compliance frameworks
Experience supporting enterprise-scale cloud environments
Why Join Globant?
Work on large-scale cloud and platform transformation initiatives
Collaborate with global engineering teams
Exposure to modern DevOps, cloud, and automation technologies
Continuous learning and professional growth opportunities
Hybrid work model in Monterrey
Location: Monterrey, Nuevo León (Hybrid)
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Use of AI in Recruitment:
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