Microsoft Full Stack Engineer - Professional
About The Position
Responsible for designing, developing, modernizing, and supporting enterprise-scale web applications and AI-assisted software solutions using Microsoft and cloud technologies. The role leads full software development lifecycle activities, including architecture, design, development, testing, deployment, maintenance, and production support for business-critical applications. The position builds enterprise applications and responsive interfaces, architects scalable cloud-native and microservices solutions, and develops APIs and distributed systems for enterprise integrations. It also translates business requirements into technical solutions, builds and optimizes data solutions, and uses AI-assisted development tools and practices to accelerate delivery and improve code quality. The role supports GenAI and Agentic AI initiatives through prompt engineering, code generation, automated testing, documentation generation, workflow automation, MCP-based integration concepts, repository-aware development, multi-agent workflows, and intelligent developer tooling.
Responsibilities
- 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.
- Use 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.
- Lead software development lifecycle activities including architecture, design, development, testing, deployment, maintenance, and production support.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
