The Role
Design, implement, and manage large-scale production Azure environments. Build and maintain CI/CD pipelines, apply DevSecOps practices, automate infrastructure with Terraform/Bicep/ARM, manage containers and orchestration (Docker, Kubernetes, Helm, FluxCD, ArgoCD), monitor with Dynatrace/Prometheus/Grafana, script in PowerShell/Python/Bash, support Azure AI/ML platforms, and optimize performance, security, and cost for microservices and serverless architectures within Agile teams.
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.
- 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
Skills Required
- Build, deploy, and maintain CI/CD pipelines (Azure DevOps)
- Experience with Azure Cloud Infrastructure and production-grade managed Azure environments
- Implement DevSecOps and cloud security best practices in pipelines
- MCP Server / Infrastructure Management
- Experience with Azure AI Foundry and Azure Machine Learning infrastructure
- Containerization and orchestration: Docker, Kubernetes, Helm, FluxCD, ArgoCD
- Observability and monitoring: Dynatrace, Prometheus, Grafana, logging, metrics, alerting
- Code quality and version control: SonarQube, Git, GitHub
- Automation and scripting: PowerShell, Python, or Bash
- Infrastructure as Code: Terraform, Bicep, ARM templates
- Experience with microservices and serverless architectures
- Strong problem-solving and production troubleshooting skills
- Knowledge of Agile/DevOps culture and collaboration practices
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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.
