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Mid-level, popular fullstack role, metro location, broad tech requirements increase applicant density.
Skills transferable across industries, but enterprise .NET and AI-specific experience creates moderate bias.
Mandatory 6+ years, specific .NET, cloud, Kubernetes and AI integration experience required.
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Lead end-to-end architecture, design, and implementation of major user-facing features on Microsoft .NET platform.
Collaborate with product managers, designers, and engineers to prototype and deliver product features with approximately 70% development time, 30% mentoring and requirement work.
Drive technical quality standards and manage ambiguous, cross-team initiatives with minimal oversight.
6+ years of industry experience in software engineering.
Expert-level knowledge of Microsoft .NET stack (C#, .NET, ASP.NET MVC, Web APIs) and SQL databases.
Bachelor's or higher degree in Computer Science, Physics, Engineering, or related technical field.
Experience using modern development tools like Git, Visual Studio, JIRA, and practical AI coding assistants (e.g., GitHub Copilot).
Proven track record of leading technical projects end-to-end with strong code review discipline.
Familiarity with AI/LLM integration in products and basic prompt engineering, plus ongoing interest in AI trends relevant to software engineering.
Comfortable working in ambiguous, cross-functional environments with strong communication skills to explain technical tradeoffs to technical and non-technical stakeholders.