Software Engineer -C# / .NET + Angular+ Cloud

Primary Responsibilities:

• Design, develop, test, and deploy scalable applications, APIs, and AI-enabled solutions that meet business and technical requirements
• Build and integrate RESTful Web APIs, MCP-aligned services.
• Apply AI-assisted development practices, including prompt engineering, model integration, and agentic workflows
• Collaborate with lead engineers to define modern architecture patterns (cloud-native, API-first, AI-enabled)
• Partner with Business Analysts to refine requirements and provide accurate estimates
• Translate business requirements into secure, scalable, and maintainable technical solutions
• Contribute to prompt libraries, reusable AI components, and structured workflows supporting enterprise AI adoption
• Ensure code quality through secure coding practices, input validation/sanitization, and adherence to compliance standards
• Lead or contribute to the delivery of complex features or projects, including coordination across team members
• Support CI/CD pipelines, automated testing, and DevOps practices
• Participate in production support, monitoring, and incident resolution, meeting SLA expectations
• Conduct code reviews and mentor junior engineers on best practices in AI, APIs, and modern web development
• Drive adoption of operational excellence practices across build, deploy, monitor, and support phases

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of hands-on development experience with C# / .NET (preferably .NET 6/8+)
• 5+ years of experience building RESTful APIs and Web Services
• 5+ years of experience with Angular (modern versions) and front-end web development
• 3+ years of experience working with cloud platforms (Azure preferred)
• Solid experience in Web API design, architecture, and API gateway integration
• Solid experience with SQL Server or Oracle databases, including design and optimization
• Experience with AI-assisted development tools, prompt engineering, or integrating AI services into applications
• Experience with secure application development (OAuth2, JWT, input validation, API security best practices)
• Experience with CI/CD pipelines (Azure DevOps, GitHub, etc.)
• Experience leading features, mentoring engineers, or guiding small teams
• Solid understanding of SDLC, Agile, and DevOps practices
• Proven solid analytical, troubleshooting, and problem-solving skills
• Proven excellent communication and collaboration skills

Preferred Qualifications:

• Experience with Model Context Protocol (MCP) or AI agent integration patterns
• Experience designing AI-powered applications (LLMs, embeddings, orchestration layers)
• Hands-on experience with prompt engineering, prompt tuning, and reusable prompt frameworks
• Experience implementing token validation, security hardening, and API governance
• Azure services such as:
  • App Services
  • Azure Functions
  • API Management (APIM)
• Experience with modern UI/UX patterns and responsive web design
• Healthcare industry experience
• Familiarity with observability tools (logging, tracing, monitoring)