Devops Engineer - Azure
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Key skills for this role
About the Role
NorthBay is seeking a Senior DevOps Engineer with deep Azure expertise to design and manage large-scale cloud environments. The role focuses on CI/CD, infrastructure automation, security, and scalability using tools like Azure DevOps, Kubernetes, Terraform, and monitoring solutions.
Key Skills for This Role
Responsibilities
- Design, implement, and manage large scale, production grade cloud environments
- Build, deploy, and maintain CI/CD pipelines for complex applications
- Implement security practices in CI/CD pipelines (DevSecOps)
- Manage Azure Cloud infrastructure for high scalable environments
- Troubleshoot production issues and optimize systems for performance and cost
Requirements
- Extensive experience in designing, implementing, and managing large scale, production grade cloud environments
- Strong expertise in Azure DevOps and CI/CD pipeline creation
- Experience with Azure Cloud Infrastructure in high scalable, production grade environments
- Experience with DevSecOps practices
- Proficiency in containerization and orchestration (Docker, Kubernetes, Helm, FluxCD, ArgoCD)
- Experience with observability tools (Dynatrace, Prometheus, Grafana)
- Proficiency in automation and scripting (PowerShell, Python, or Bash)
- Experience with Infrastructure as Code (Terraform, Bicep, ARM templates)
- Knowledge of cloud security best practices
- Experience with microservices and serverless architectures
- Knowledge of Agile/DevOps culture and collaboration practices
Full Job Posting
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)
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