.NET Full Stack Developer (Azure + AI)

Role: .NET Full Stack Developer Location: Bellevue, WASalary: $90k-$110K/ AnnumNote: Interview Process: Phone & In-personVisa: US Citizen & Green Card (Only due to legal or Government Contract Requirement)Job DescriptionTechnical/Functional Skills:Strong proficiency in object-oriented language such as C#Strong proficiency in front-end technologies such as HTML, CSS, and JavaScript/TypeScript Experience with back-end technologies like Python (preferred) as well as Node.js, Ruby on Rails Familiarity with database technologies such as MySQL, MongoDB, or PostgreSQL. Experience with version control systems such as Git. Knowledge of AI/ML concepts or AI Agents (LLMs, automation, or orchestration frameworks)Experience working with React JS or Angular. Excellent problem-solving and analytical skills. Experience in CI/CD pipeline setup (Azure DevOps or similar)Experience with AI-driven automation or workflow orchestration [Develop .N...soft Learn | Learn.Microsoft.com]Strong communication and collaboration skills. Develop or integrate AI Agents / AI-driven capabilities for automation and decision supportProficient in collaborating with a globally dispersed team spanning diverse geographic regions and time zones. Experience working in an agile project environment. Familiar with project management tracking tools like, Azure Dev Ops, MS Projects, Jira, etc. Roles & Responsibilities:A full-stack engineer with experience building and scaling web applications. Design, develop, and maintain web applications using modern web technologies. Collaborate with cross-functional teams to define, design, and deploy new features. Write clean, maintainable, and well-documented code. Troubleshoot and debug issues in a timely manner and per SLA. Stay up to date with emerging trends and technologies in web development. Be knowledgeable on digital marketing best practices, technologies and trends. CAN-SPAM best practices and GDPR compliance are followed. Collaborate with other teams (agencies & data) to maximize available resources for client support and overall technical execution. Monitor and communicate issues and technical roadblocks effectively. Work with engineering partners to manage new data requirements, and rationalize the feature/product roadmap accordingly.