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HEXAWARE

Microsoft Full Stack Engineer - Professional

  • Remote (United States)
  • remote
  • Full time

Posted Updated

Free to apply. You’ll finish on the employer’s own site.

Skills mentioned
  • .NET
  • REST APIs
  • HTML/CSS
  • C#
  • React
  • Angular
+6 more
  • TypeScript
  • JavaScript
  • Microservices
  • Azure
  • AWS
  • Docker
Responsible for designing, developing, modernizing, and supporting enterprise-scale web applications and AI-assisted software solutions using Microsoft and cloud technologies. Lead full software development lifecycle activities including architecture, design, development, testing, deployment, maintenance, and production support for business-critical applications. Key Responsibilities Include: • Design, develop, and maintain enterprise applications using C#, .NET Core, ASP.NET Core MVC, Web API, REST APIs, React.js, Redux, Angular, TypeScript, JavaScript, HTML5, CSS3, and Bootstrap. • Architect and implement scalable microservices, cloud-native applications, and API-driven solutions using Azure, AWS, Docker, Kubernetes, and CI/CD pipelines. • Develop reusable frontend components, state management solutions, and responsive user interfaces for enterprise web applications. • Design and implement service-oriented architectures, RESTful APIs, web services, and distributed systems to support enterprise integrations. • Analyze business requirements and translate them into technical solutions, system architectures, and implementation plans. • Build and optimize SQL Server, MongoDB, Cosmos DB, Redis, and cloud-based data solutions, including data modeling, stored procedures, indexing strategies, and performance tuning. • Leverage AI-assisted development tools including GitHub Copilot, Droid, Factory AI, and other developer productivity platforms to accelerate software delivery and improve code quality. • Support GenAI and Agentic AI initiatives through prompt engineering, AI-assisted coding, code generation, automated testing, documentation generation, and workflow automation. • Participate in AI-enabled software engineering practices, including MCP-based integration concepts, repository-aware development, multi-agent workflows, and intelligent developer tooling.

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