C#.Net Developer

• Lead the architecture, design, and development of modern full-stack web applications.
• Design and implement cloud-native, scalable solutions using microservices and serverless architectures.
• Develop AI-enabled features and integrations leveraging technologies such as Azure OpenAI, AWS Bedrock, and other AI platforms.
• Partner with clients and stakeholders to translate business needs into technical solutions.
• Lead solution design sessions, architecture reviews, and technical strategy discussions.
• Develop and oversee secure, high-performance web applications and RESTful APIs.
• Drive cloud adoption, automation, and DevSecOps best practices across development teams.
• Mentor developers, conduct code reviews, and promote engineering excellence.
• Ensure applications meet security, performance, scalability, and quality standards.
• Collaborate with UI/UX teams to deliver responsive and user-centric applications.
• Evaluate emerging technologies and introduce innovative solutions that improve delivery and customer outcomes.

• 8+ years of experience in full-stack web application development.
• Strong hands-on experience with .NET/C#, modern JavaScript frameworks (React, Angular, or Vue), and web application architecture.
• Experience with Node.js, Python, or other modern development technologies.
• Hands-on experience integrating AI/ML capabilities, generative AI solutions, or AI APIs into enterprise applications.
• Strong experience with AWS and/or Azure cloud platforms.
• Experience designing microservices, cloud-native applications, and RESTful APIs.
• Strong T-SQL and database development experience.
• Experience with SQL and NoSQL databases.
• Knowledge of secure application development and cloud security best practices.
• Experience with CI/CD pipelines, DevOps, and modern software delivery practices.
• Proven technical leadership and client-facing experience.
• Excellent communication skills with the ability to bridge business and technical requirements.
• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).

Preferred Skills

• Experience building or deploying production-ready generative AI solutions.
• Certifications in AWS, Azure, AI, or related cloud technologies.
• Experience with Python-based AI/ML workflows.
• Experience with DevSecOps, automation, and cloud-native engineering practices.
• Prior experience serving as a technical lead, solution architect, or trusted client advisor.
• Experience delivering solutions in complex enterprise or mission-driven environments.