Devops Engineer - Azure
Abu Dhabi Full-time Mid-level DevOps & Release
At a glance
Mid-level DevOps & Release role at NorthBay Solutions. Abu Dhabi · full-time.
Pay not stated DevOps Engineer salary
RoleDevOps & Release
SeniorityMid-level
LocationAbu Dhabi
EmploymentFull-time
Role brief
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run CI/CD pipelines that deploy complex applications on Azure
- Manage production Azure environments, keeping infrastructure scalable and secure
- Add security checks to delivery pipelines and troubleshoot live production issues
- Use infrastructure-as-code tools to provision cloud resources and improve performance and cost
- Monitor systems with metrics, logs and alerts across containerized and AI/ML platforms
What you bring
- You have hands-on experience with Azure cloud infrastructure and production-grade environments
- You can build and maintain Azure DevOps pipelines for complex applications
- You bring experience with infrastructure as code, cloud security and production troubleshooting
Who this fits
This mid-level role suits an engineer focused on Azure infrastructure, delivery automation and operational security. The work spans containers, monitoring, AI/ML platforms, microservices and serverless systems.
From the employer
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