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Senior .NET Full Stack Developer
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Observed pay for full stack engineer jobs in the united states
Among 53 openings that publish compensation, the median stated annual range is $107K–$156K USD. This uses observed listing data across 727 live jobs, never an estimated salary.
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Reach the decision-maker — $5About the role
Positions: .NET Full Stack Developer Experience: 6 \- 8 Years No. Of Positions: 1
Responsibilities:* + Play a key role in the development of new UIs for Compliance workflows + Translate specifications / diagrams / workflows built in Figma/UI templating tools to React framework pages + Build support for Single SPA / Micro frontend components into our existing framework + Play a key role in the development team to build high\-quality, high\-performance, scalable code + Participate in complete SDLC process (design, development, and support) of tech solutions + Active participation in all scrum ceremonies, follow AGILE best practices effectively. + Produce technical design documents and conduct technical walkthroughs + Document and demonstrate solutions using technical design docs, diagrams and stubbed code. + Work collaboratively with business partners to understand and clarify requirements. + Collaborate effectively with technical and non\-technical stakeholders. + Actively participate in the production issues resolutions.
What We’re Looking For:* + 6\+ years of experience in application development experience in the following: + .Net Core, C\#, React, TypeScript and CSS + Expertise with HTML, JavaScript and UI technologies like ReactJS and J Query + Data access frameworks like Entity Framework, ADO.NET etc. + Strong User Interface building skills + Consumption of REST APIs + Experience using AI coding assistants (e.g. GitHub Copilot, Code Whisperer) to accelerate development while maintaining high code quality. + Proficiency in developing and implementing MCP servers to enable seamless integration between AI assistants and external systems, tools, and data sources. + Strong familiarity with agentic AI principles, including autonomous decision\-making systems, adaptive learning mechanisms, and intelligent agent architectures that can operate independently while learning from interactions. + Advanced skills in prompt engineering techniques and model fine\-tuning to optimize AI performance for specific use cases and domain requirements. + Stay up to date with emerging technologies and industry trends to ensure our applications remain cutting\-edge. + Understanding and implementation of Data Contracts for reliable data exchange across microservices or domains. + Familiarity with serverless, event\-driven, and edge computing paradigms for building scalable modern SaaS platforms. + Hands\-on experience with micro frontend architecture, enabling independent deployment, modular ownership, and better scalability across product teams — ideally integrated with AI\-driven tooling to scaffold or refactor both front\-end and back\-end components.
Basic Qualifications:* + Bachelor/Master degree in Computer Science and/or Certified Development Program.
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