Devops Engineer - Azure

NorthBay Solutions LLC

Abu Dhabi

On-site

AED 330,517 - 440,690

Full time

14 days+

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Job summary

NorthBay Solutions LLC is seeking a highly skilled Senior DevOps Engineer to design, implement, and manage large-scale cloud environments. The ideal candidate will have extensive experience with Azure DevOps and cloud infrastructure, and will focus on automation, security, and scalability.

The position requires expertise in DevSecOps, containerization, observability, and various automation scripting languages, making it essential for candidates to possess strong problem-solving skills and a solid understanding of the Agile/DevOps culture.

Qualifications

  • Experience in high-scalable, production-grade Azure environments.
  • Strong problem-solving skills and troubleshooting production issues.
  • Knowledge of optimizing systems for performance and cost.

Skills

Azure DevOps / CI/CD
Azure Cloud Infrastructure
DevSecOps
Containerization & Orchestration
Automation & Scripting
Infrastructure as Code
Cloud security best practices
Microservices and serverless architectures
Agile/DevOps culture

Tools

Docker
Kubernetes
Terraform
Azure AI Foundry
Azure Machine Learning
SonarQube
Git
GitHub

Job description

Job Description:

We are looking for a highly skilled Senior DevOps Engineer with extensive experience in designing, implementing, and managing large-scale, production-grade cloud environments. The ideal candidate will have strong expertise in Azure DevOps, cloud infrastructure, and modern DevOps practices with a focus on automation, security, and scalability.

Key Skills & Requirements:
  • Azure DevOps / CI/CD: Build, deploy, and maintain pipelines for complex applications.
  • Must have experience working on Azure Cloud Infrastructure
  • Managed Azure Cloud: Experience in high-scalable, production-grade Azure environments.
  • DevSecOps: Implement security practices in CI/CD pipelines.
  • MCP Server / Infrastructure Management
  • LLM & AI/ML Platforms: Experience with Azure AI Foundry, Azure Machine Learning infrastructure.
  • Containerization & Orchestration: Docker, Kubernetes, Helm, FluxCD, ArgoCD.
  • Observability & Monitoring: Dynatrace, Prometheus, Grafana, logging, metrics, and alerting.
  • Code Quality & Version Control: SonarQube, Git, GitHub.
  • Automation & Scripting: PowerShell, Python, or Bash.
  • Strong problem‑solving skills, troubleshooting production issues, and optimizing systems for performance and cost.
  • Infrastructure as Code (Terraform, Bicep, ARM templates)
  • Cloud security best practices
  • Experience with microservices and serverless architectures
  • Knowledge of Agile/DevOps culture and collaboration practices
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