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Microsoft Full Stack Engineer - Professional

Hexaware · United States

Mixed hiring record · median 29 days open

8989

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • This role has been posted 5 times
  • 31% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Microsoft Full Stack Engineer - Professional at Hexaware. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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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