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NorthBay Solutions

AWS migrations, data analytics, ML services

Front-End Web Developer - React + Azure

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong hands-on experience with React.js, including Hooks, state management, and performance optimization.
  • Experience with Azure App Services or containerized deployments using Docker or Kubernetes.
  • Knowledge of Azure AD or Azure AD B2C integration.
  • Experience integrating with REST APIs and real-time data streams.
  • Familiarity with .NET Core backend environments.
  • A solid understanding of JavaScript (ES6+), HTML5, and CSS3.
  • Experience with version control tools such as Git.

Responsibilities

  • Develop and maintain high-performance, scalable front-end applications using React.js.
  • Integrate frontend applications with Azure-hosted services, including AI APIs.
  • Implement authentication and authorization using Azure AD or Azure AD B2C.
  • Consume and manage RESTful APIs, handling both real-time and batch data processing.
  • Collaborate with backend teams working on .NET Core APIs.
  • Optimize applications for performance, scalability, and security.
  • Participate in code reviews, testing, and CI/CD processes.

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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