Cloud Infrastructure Engineer
Digitive LLC
Lisle, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Lisle, United States of America
Tech stack
.NET
Agile Methodologies
Artificial Intelligence
Azure
Cloud Computing Security
Cloud Engineering
Continuous Integration
DevOps
Identity and Access Management
Octopus Deploy
Site Reliability Engineering Practices
Prometheus
Cloud Platform System
React
System Availability
Grafana
GIT
Containerization
Git Flow
Kubernetes
Deployment Automation
Performance Monitor
Azure
Terraform
Devsecops
Legacy Systems
Web Api
Job description
- Design, build, and manage scalable cloud infrastructure on Microsoft Azure
- Implement Infrastructure as Code (Terraform) for consistent, compliant environments
- Manage and optimize Azure Kubernetes Service (AKS) clusters across environments
- Enable seamless deployments through CI/CD pipelines (Azure DevOps)
- Work closely with Dev, Security, and DevOps teams to drive best practices
- Monitor performance & reliability using Prometheus, Grafana
- Support Argo CD and Git-based deployment strategies
- Drive cloud modernization initiatives and migrate legacy systems
- Ensure security, governance, and compliance across cloud environments
Requirements
If you thrive in Azure environments, love automation, and enjoy working in a fast-paced Agile setup this opportunity is for you., * Strong experience in Azure Cloud Infrastructure
- Hands-on with Kubernetes (AKS) and containerized workloads
- Expertise in Terraform (IaC)
- Solid understanding of networking, IAM, and cloud security
- Experience with CI/CD, Git workflows (GitFlow)
- Knowledge of high availability, scalability, and DR design
- Familiarity with DevSecOps / SRE practices
- Experience supporting Web APIs & application platforms, * Cloud-native modernization experience
- Azure Policy & governance frameworks
- Observability tools like Loki / OpenTelemetry
- Exposure to React / .NET environments
- Interest in applying AI in platform engineering