Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus primarily on CHEC's React/TypeScript frontend, delivering intuitive and reliable user experiences for complex configuration workflows while maintaining strong backend collaboration. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate component development, translate UX designs into code faster, and generate comprehensive test coverage.
What You Drive at DTNA
• Lead development of React-based UI components and workflows
• Implement complex configuration, validation, and visualization logic
• Partner closely with UX to translate designs into high-quality implementations, using AI coding assistants to accelerate design-to-code workflows
• Collaborate with backend developers on API design and data contracts
• Contribute to automated UI testing and defect prevention, leveraging AI tools to generate test cases and expand coverage
• Participate in code reviews, architecture discussions, and agile ceremonies
• Support production issues and continuous improvement
• Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate component development and code reviews
• Apply prompt engineering techniques to generate, refactor, and optimize React/TypeScript code
• Critically evaluate AI-generated code for correctness, performance, accessibility, and adherence to CHEC design patterns
• Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
• Bachelor's degree in Computer Science, Software Engineering, or related field
• 6+ years web application development
• Deep React and TypeScript expertise on enterprise systems
• Experience with complex, data-driven UIs
• State management experience (Redux, Zustand, or Context API)
• Frontend testing frameworks (Jest, React Testing Library, Cypress/Playwright)
• Accessibility standards knowledge (WCAG 2.x compliance)
• CSS and styling systems (CSS-in-JS, Tailwind, SASS/SCSS, or styled-components)
• Responsive design and cross-browser development
• Exposure to .NET APIs and Azure cloud services
• Proficiency with GitHub and CI/CD pipelines
• Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
• Prompt engineering skills for frontend code generation, component scaffolding, and test creation
• Ability to critically evaluate and refine AI-generated code to meet enterprise quality standards
Exceptional Candidates Might Have
• Experience in enterprise or safety-relevant systems
• Performance optimization expertise (code splitting, lazy loading, bundle analysis)
• Component library or design system contribution or ownership
• Experience integrating LLM APIs into frontend applications
• Track record of using AI tools to measurably accelerate delivery
• Familiarity with AI-assisted testing and defect prevention tools
Responsibilities
Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus primarily on CHEC's React/TypeScript frontend, delivering intuitive and reliable user experiences for complex configuration workflows while maintaining strong backend collaboration. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate component development, translate UX designs into code faster, and generate comprehensive test coverage.
What You Drive at DTNA
• Lead development of React-based UI components and workflows
• Implement complex configuration, validation, and visualization logic
• Partner closely with UX to translate designs into high-quality implementations, using AI coding assistants to accelerate design-to-code workflows
• Collaborate with backend developers on API design and data contracts
• Contribute to automated UI testing and defect prevention, leveraging AI tools to generate test cases and expand coverage
• Participate in code reviews, architecture discussions, and agile ceremonies
• Support production issues and continuous improvement
• Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate component development and code reviews
• Apply prompt engineering techniques to generate, refactor, and optimize React/TypeScript code
• Critically evaluate AI-generated code for correctness, performance, accessibility, and adherence to CHEC design patterns
• Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
• Bachelor's degree in Computer Science, Software Engineering, or related field
• 6+ years web application development
• Deep React and TypeScript expertise on enterprise systems
• Experience with complex, data-driven UIs
• State management experience (Redux, Zustand, or Context API)
• Frontend testing frameworks (Jest, React Testing Library, Cypress/Playwright)
• Accessibility standards knowledge (WCAG 2.x compliance)
• CSS and styling systems (CSS-in-JS, Tailwind, SASS/SCSS, or styled-components)
• Responsive design and cross-browser development
• Exposure to .NET APIs and Azure cloud services
• Proficiency with GitHub and CI/CD pipelines
• Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
• Prompt engineering skills for frontend code generation, component scaffolding, and test creation
• Ability to critically evaluate and refine AI-generated code to meet enterprise quality standards
Exceptional Candidates Might Have
• Experience in enterprise or safety-relevant systems
• Performance optimization expertise (code splitting, lazy loading, bundle analysis)
• Component library or design system contribution or ownership
• Experience integrating LLM APIs into frontend applications
• Track record of using AI tools to measurably accelerate delivery
• Familiarity with AI-assisted testing and defect prevention tools
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Senior Full Stack Developer - Frontend (React) - CHEC
Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Responsibilities
Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Senior Full Stack Developer - Backend (.NET)
