Job details:

• AI-Fluent Full-Stack Engineer, .NET/Azure/React.
• Fully Remote, with possible in person team sessions 1x quarter likely in Prague.
• Full-time
• 6 months + possible extension
• US Hours required: Minimum 2-6 p.m. CET

Role Summary:

We are looking for an experienced Full-Stack Engineer to support the modernization of client’s fleet management platform, with an immediate focus on its large and complex Supply Chain domain.

The engineer will work in a co-delivery model alongside client’s engineering teams. The ideal candidate must have strong hands-on experience with .NET/C# and Azure, combined with solid React expertise. The candidate must also demonstrate practical use of AI-assisted development tools to accelerate software delivery.

Responsibilities:

• Design, develop, test, and maintain full-stack applications using .NET/C#, React.
• Build and integrate backend services and APIs using .NET/C#.
• Take ownership of frontend development using React.
• Contribute to the modernization and modular decomposition of a large enterprise platform.
• Work with traditional React single-page applications and modular frontend architectures.
• Develop data-access components using Entity Framework and Dapper.
• Work with Azure SQL and Cosmos DB.
• Collaborate directly with client engineers in a co-delivery environment.
• Participate in agile ceremonies, sprint delivery, technical design, code reviews, and testing.
• Use AI development tools to accelerate design, coding, refactoring, debugging, testing, and documentation.
• Validate AI-generated code for correctness, maintainability, security, and alignment with engineering standards.

Required Skills:

• Strong .NET and C# development experience.
• Strong, hands-on React experience.
• Significant full-stack software engineering experience.
• Experience with microfrontend architectures.
• Hands-on Microsoft Azure experience.
• Experience building enterprise-grade React single-page applications.
• Experience with Azure SQL and Cosmos DB.
• Experience with Entity Framework and Dapper.
• Experience designing and consuming APIs.
• Experience modernizing or decomposing large enterprise applications.
• Strong understanding of software design, testing, code quality, and maintainability.
• Experience working in agile engineering teams.
• Strong communication and client collaboration skills.
• Understanding of API documentation practices (OpenAPI/Swagger) and versioning strategies.

AI-Fluent Engineering Requirement

The candidate must demonstrate practical experience using AI-assisted engineering tools, such as:

• Cursor
• Claude Code
• GitHub Copilot or equivalent tools

The candidate should be able to explain how these tools have been used to accelerate:

• Technical and application design
• Code generation
• Refactoring
• Unit and integration test creation
• Debugging
• Code review
• Documentation
• Understanding existing codebases

The candidate does not need to be an AI or machine-learning engineer, but must demonstrate how AI is integrated into their regular software development workflow.

Preferred Experience:

• Supply chain, fleet management, logistics, or operational platform experience.
• Modernization of large monolithic systems.
• Domain-driven or modular application architecture.
• Experience working with distributed US and offshore engineering teams.
• Experience supporting clients in the early stages of AI-assisted SDLC adoption.

SNI sp. z o.o. will process personal data for the purpose of the recruitment process in accordance with Data Privacy Policy. The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.