The Role
Looking for a Senior DevOps Engineer to design, implement, and manage production-grade Azure environments focusing on automation and security.
Summary Generated by Built In
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.
- 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
Skills Required
- Extensive experience in designing and managing production-grade cloud environments
- Strong expertise in Azure DevOps
- Experience in CI/CD pipelines
- Knowledge of Docker, Kubernetes, and Helm
- Expertise in infrastructure as code with Terraform or Bicep
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The Company
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
