Azure DevOps Engineer Onsite

Alpharetta, GA, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Azure DevOps
  • Pipelines
  • YAML-based pipelines
  • Repos
  • Artifacts
  • ArgoCD
  • GitOps
  • Kubernetes/AKS
  • Helm
  • container orchestration
  • Microsoft Azure
  • Orchestration
  • Python
  • Git
  • IT Management
  • Kubernetes
  • Management
  • Agile
  • Bash
  • Release Engineering
  • Scrum
  • Cloud Computing
  • DevOps
  • Docker
  • SAFE
  • Scripting
  • Terraform
  • Windows PowerShell
  • Workflow
  • YAML
  • ARM

Summary

Top Skills:
* Strong hands-on experience with Azure DevOps (Pipelines, YAML-based pipelines, Repos, Artifacts)
* Proven expertise in ArgoCD and GitOps methodologies
* Solid experience with Kubernetes/AKS, Helm, and container orchestration

Required Skills & Experience:
* 10+ years in DevOps/Release Engineering including technical lead capacity
* Strong hands-on experience with Azure DevOps (Pipelines, YAML-based pipelines, Repos, Artifacts)
* Proven expertise in ArgoCD and GitOps methodologies
o Implement and manage GitOps workflows using ArgoCD for Kubernetes-based application deployments
o Define and maintain ArgoCD application manifests, sync policies, and multi-cluster deployment strategies
o Ensure declarative, version-controlled infrastructure and application state management
* Solid experience with Kubernetes/AKS, Helm, and container orchestration
* Proficiency in scripting (PowerShell, Bash, Python) and IaC tools (Terraform, Bicep, ARM templates)
* Experience with Docker and container registries (ACR)
* Working knowledge of Git branching strategies (GitFlow, trunk-based development)
* Familiarity with SAFe Agile/Scrum delivery models
* Strong troubleshooting skills across build, deployment, and runtime environments

Preferred/Nice-to-Have:
* Azure DevOps Engineer Expert or AKS certification
* Experience with service mesh (Istio/Linkerd)
* Exposure to multi-cloud or hybrid deployment models
* Prior experience in large-scale client delivery/consulting environments
Years of Experience:    12.00 Years of Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10221428
  • Position Id: 9063382
  • Posted 10 hours ago
Contact the job poster
Reshma Sasikumar

Reshma Sasikumar

Recruiter! @ Tektree Systems Inc.
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