Full Stack Developer

About the Role

DynPro is looking for a hands-on Full Stack Developer to build and enhance modern business applications. You will work across frontend interfaces, backend services, and databases, collaborating with engineering and business teams to turn requirements into reliable, maintainable software.

We welcome experience across AWS, Azure, or GCP. Experience using AI tools in software development or integrating AI capabilities into applications is a plus.

What You Will Do

• Build and maintain web applications across the frontend and backend.
• Develop user interfaces, backend services, and database functionality that support business workflows.
• Work with APIs to connect application components and external systems.
• Write clean, testable code and participate in design discussions and code reviews.
• Troubleshoot application issues and improve performance, reliability, and security.
• Contribute to testing, CI/CD, deployments, and production support.
• Collaborate with engineers and business stakeholders to clarify requirements and deliver features.

What You Bring

• Proven hands-on experience developing and maintaining full-stack applications in production.
• Strong JavaScript/TypeScript skills and experience with a modern frontend framework such as React, Angular, or Vue.
• Strong backend development experience in at least one platform, such as .NET/C#, Java, or Node.js.
• Experience with SQL databases, data modeling, and application-level query troubleshooting.
• Familiarity with APIs and how data moves between frontend and backend components.
• Experience with Git, automated testing, debugging, and collaborative development.
• Clear communication and the ability to take a feature from requirements through implementation and release.

Preferred Experience

• React/TypeScript combined with .NET/C# development.
• Cloud application deployment on AWS, Azure, or GCP; experience with any one platform is welcome.
• CI/CD pipelines, containerization, and application monitoring.
• API integrations, authentication, and webhooks.
• AI-assisted development tools such as GitHub Copilot or similar tools.
• Exposure to integrating generative AI or LLM APIs into applications.
• Enterprise applications involving business workflows, data, and system integrations.