QTech US Inc

QTech US Inc

Azure DevOps Engineer - East Brunswick, NJ

East Brunswick, New Jersey, USA · Contract

Sponsorship not specifiedDetected 61 days ago
PythonBashPowerShellGitMongoDBElasticsearchAzureCloud PlatformsKubernetesTerraformCI/CDGitHub ActionsJenkinsPrometheusGrafanaDevOpsKafkaCybersecurityDNSFirewallVPNCommunicationCollaborationProblem Solving

About the role

  • The ideal candidate will have strong expertise in Azure services, networking, containerization, and observability tools, including the ELK stack.

Responsibilities

  • Design, implement, and maintain scalable, secure, and highly available cloud infrastructure on Microsoft Azure Configure and manage Virtual Networks (VNet/VPC), subnets, NSGs, routing, and connectivity solutions Deploy, manage, and optimize Azure Kubernetes Service (AKS) clusters Work with Azure Container Apps and Azure Container Registry (ACR) for container lifecycle management Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, and Azure DevOps Manage source control using Git and enforce best practices Automate infrastructure provisioning using IaC tools (Terraform, ARM, Bicep) Implement and manage logging and monitoring solutions using

Requirements

  • 5+ years of experience in DevOps / Cloud Engineering Strong hands-on experience with Microsoft Azure Deep understanding of networking (VNet/VPC, DNS, Load Balancers, VPN, Firewalls, Application
  • Azure Container Apps Azure Container Registry (ACR) Proficiency in Git, GitHub Actions, Jenkins Strong experience with

Nice to have

  • Experience with Infrastructure as Code (Terraform, ARM, Bicep) Knowledge of microservices and container-based architectures Experience with monitoring tools (Azure Monitor,
  • Prometheus, Grafana) Azure certifications (AZ-400, AZ-104) are a plus Soft Skills:
  • Strong problem-solving and analytical skills Excellent communication and collaboration abilities Ability to work in a fast-paced, agile environment

This listing is sourced directly from QTech US Inc's careers page and normalized into a canonical job model.