Senior Full Stack Developer - AI-Enabled Software Engineering
iDbase Software
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Job summary
iDbase Software is seeking a Senior Full Stack Developer to lead AI-enabled software engineering efforts. You will design, develop, and deploy enterprise-grade apps using React, C#, .NET, and PostgreSQL, while leveraging AI tools to accelerate delivery and quality.
You will champion modern architectures (DDD, Clean Architecture, microservices) and contribute to AI engineering standards, CI/CD pipelines, and cloud deployments, primarily on Azure.
Qualifications
- 7+ years professional software development experience.
- 5+ years C# and .NET experience.
- 5+ years React development experience.
- 3+ years PostgreSQL experience.
- 1+ years using AI-assisted development tools in production environments.
- Experience deploying solutions to cloud environments.
Responsibilities
- Solution Design & Development.
- Design and develop scalable web applications using React and modern front-end frameworks.
- Build secure, maintainable APIs using C# and .NET 8+.
- Design and optimize PostgreSQL databases.
- Develop reusable components, services, and libraries.
- Implement modern architectural patterns (Clean Architecture, DDD, Event-Driven, Microservices).
- AI-Assisted Software Engineering: use AI tools for code generation, refactoring, documentation, tests.
- Build and maintain CI/CD pipelines and deploy to Azure.
- Mentor junior developers and promote AI-enabled practices.
Skills
Education
Tools
Job description
Senior Full Stack Developer -- AI-Enabled Software Engineering
Division: DevX
Business Unit: RIB
Minimum experience: Mid-Senior
Company primary industry: Information Services
Job functional area: Information Technology
We are seeking a highly skilled Senior Full Stack Developer with strong experience in modern software engineering and AI-assisted development practices.
The successful candidate will be responsible for designing, developing, deploying, and maintaining enterprise-grade applications using React, C#, .NET, and PostgreSQL. Beyond traditional software development skills, the ideal candidate must be proficient in leveraging AI development tools such as GitHub Copilot, Microsoft Copilot, Claude Code, Cursor, and similar AI-assisted engineering platforms to improve productivity, code quality, and solution delivery.
This role is suited for a developer who embraces the future of software engineering, combining deep technical expertise with AI-enhanced development workflows.
- Solution Design & Development
- Design and develop scalable web applications using React and modern front-end frameworks.
- Build secure, maintainable, and high-performance APIs using C# and .NET 8+.
- Design and optimize PostgreSQL databases.
- Develop reusable components, services, and libraries.
- Implement modern architectural patterns including:
- Clean Architecture
- Domain-Driven Design (DDD)
- Event-Driven Architectures
- Microservices (where appropriate)
- AI-Assisted Software Engineering
- Utilize AI development tools such as:
- GitHub Copilot
- Microsoft Copilot
- Claude Code
- Cursor AI
- ChatGPT Enterprise (where approved)
- Use AI tools for:
- Code generation
- Refactoring
- Documentation generation
- Test development
- Troubleshooting and debugging
- Architectural analysis
- Create and maintain effective prompts and AI workflows.
- Evaluate AI-generated code for security, performance, maintainability, and compliance.
- Contribute to the organization's AI Engineering standards and best practices.
- Cloud & DevOps
- Build and maintain CI/CD pipelines.
- Deploy applications to cloud environments (Azure preferred).
- Implement Infrastructure-as-Code principles.
- Monitor application performance and reliability.
- Ensure deployment automation and operational excellence.
- Quality Engineering
- Write comprehensive automated tests.
- Conduct peer code reviews.
- Ensure adherence to coding standards and security best practices.
- Implement application monitoring and logging.
- Leadership & Mentoring
- Mentor junior and intermediate developers.
- Promote AI-enabled development practices across teams.
- Participate in architecture reviews and technical governance.
- Contribute to technical community discussions and innovation initiatives.
- Front-End
- React (5+ years)
- TypeScript
- JavaScript (ES6+)
- HTML5
- CSS3
- Tailwind CSS
- Responsive Design
Back-End - C#
- .NET 8+
- ASP.NET Core
- REST APIs
- Entity Framework Core
- Database
- PostgreSQL
- Database Design
- Query Optimization
- Performance Tuning
- Source Control & DevOps
- Git
- Azure DevOps
- GitHub
- CI/CD Pipelines
- Docker
- Cloud Platforms
- Microsoft Azure (Preferred)
- Experience with:
- App Services
- Container Apps
- Azure Functions
- Azure SQL
- Azure OpenAI
- Key Vault
- Application Insights
- AI Engineering Skills (Mandatory)
- The ideal candidate must demonstrate practical experience using AI as part of the software development lifecycle.
- Mandatory
- 7+ years professional software development experience.
- 5+ years C# and .NET experience.
- 5+ years React development experience.
- 3+ years PostgreSQL experience.
- 1+ years using AI-assisted development tools in production environments.
- Experience deploying solutions to cloud environments.
- Advantageous
- Experience building AI-native applications.
- Experience implementing AI agents.
- Experience with enterprise consulting environments.
- Experience in highly regulated industries.
- Required Experience
- GitHub Copilot
- Microsoft Copilot
- Claude Code
- AI-assisted debugging
- AI-assisted unit test creation
- AI-assisted documentation generation
- Prompt engineering for software development
- Preferred Experience
- AI Agent Frameworks
- Model Context Protocol (MCP)
- AI Workflow Orchestration
- Required
- Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or related field.
Preferred - Microsoft Azure Certifications.
- AI Engineering Certifications.
- Cloud Certifications.
- Agile/Scrum Certifications.
- Full-Stack Development
- System Design
- Cloud Architecture
- AI-Assisted Development
- DevOps & Automation
- Secure Software Development
- Leadership
- Technical Mentoring
- Solution Ownership
- Stakeholder Engagement
- Cross-Functional Collaboration
- Continuous learner with strong curiosity for emerging technologies.
- Adaptable and innovative.
- Excellent problem-solving skills.
- Strong communication skills.
- Ability to critically evaluate AI-generated outputs.
- Passionate about improving engineering productivity through AI.
The successful candidate will:
- Deliver high-quality software solutions on time and within scope.
- Demonstrate measurable productivity improvements through responsible AI tool usage.
- Maintain high standards of code quality and security.
- Contribute to the adoption of AI engineering practices across the development team.
- Mentor others in modern software engineering approaches.
- Champion automation, efficiency, and continuous improvement.
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