NorthBay Solutions

AWS migrations, data analytics, ML services

Devops Engineer - Azure

Cloud Engineering +1Confirmed live in the last 24 hours

Full-timeAbu Dhabi - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

Extensive experience designing, implementing, and managing large-scale, production-grade cloud environments.
Strong expertise in Azure DevOps, cloud infrastructure, and modern DevOps practices focused on automation, security, and scalability.
Experience building, deploying, and maintaining continuous integration and continuous delivery pipelines for complex applications.
Experience working with Azure Cloud Infrastructure and highly scalable, production-grade Azure environments.
Experience implementing security practices in continuous integration and continuous delivery pipelines.
Experience with MCP Server and infrastructure management.
Experience with Azure AI Foundry and Azure Machine Learning infrastructure.
Experience with Docker, Kubernetes, Helm, FluxCD, and ArgoCD.
Experience with Dynatrace, Prometheus, Grafana, logging, metrics, and alerting.
Experience with SonarQube, Git, and GitHub.
Experience with PowerShell, Python, or Bash.
Strong problem-solving and production-issue troubleshooting skills, including optimizing systems for performance and cost.
Experience with infrastructure as code using Terraform, Bicep, or ARM templates.
Knowledge of cloud security best practices.
Experience with microservices and serverless architectures.
Knowledge of Agile and DevOps culture and collaboration practices.

Responsibilities

Design, implement, and manage large-scale, production-grade cloud environments.
Build, deploy, and maintain continuous integration and continuous delivery pipelines for complex applications.
Implement security practices in continuous integration and continuous delivery pipelines.
Troubleshoot production issues and optimize systems for performance and cost.

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

About the Company

NorthBay Solutions

AWS migrations, data analytics, ML services

NorthBay Solutions is an AWS Premier Partner that helps large organizations move their databases and applications to Amazon Web Services, modernize software, and build data analytics, DevOps/DataOps pipelines, and ML/AI solutions. Its services cover database and application migrations, data and analytics workloads, DevOps and DataOps practices, and technology modernization across cloud and data platforms. The company operates by delivering engineering and consulting projects in an agile, quality-focused way to accelerate time-to-market and maximize value from cloud investments. What sets NorthBay apart is its status as an AWS Premier Partner with deep expertise in cloud migrations, data engineering, and AI/ML workloads, along with a track record of working with recognizable brands. The goal is to help clients securely migrate to AWS, modernize their applications, and unlock data-driven insights and intelligent capabilities quickly and reliably.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Cambridge, MA
Founded: 2007

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