About the Role

Full-Stack Engineer to help modernize and scale a business-critical product catalog platform. This role involves end-to-end ownership across backend services, frontend applications, APIs, and relational databases.

Key Responsibilities

• Design, build, and deploy catalog features end-to-end

• Develop APIs, business logic, data models, and React-based UI components

• Participate in platform modernization initiatives

• Use AI-assisted development tools for coding and test automation

• Write and maintain automated tests

• Collaborate with Product and Design teams

Required Technical Skills

• Backend expertise in C#/.NET, Go, Python, or Java

• React or modern frontend framework experience

• REST APIs and microservices architecture

• MS SQL Server or PostgreSQL

• CI/CD and automated testing

• AI-assisted development tooling experience

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Exposure to specific tools and has used AI in concrete workflows (e.g., 'I use Cursor for brownfield navigation and Claude Code for test generation')

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Used AI for multiple SDLC steps: coding, testing, code review, documentation

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Specific project with clear role for AI tooling and clear personal contribution

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Exposure in validating or correcting AI output

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Exposure on what worked and where AI fell short

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Opinions on limitations of AI tools and how they compensate

Required Engineering Skills

• 7+ years of software engineering experience. Good communication and collaboration skills

• Strong ownership mindset and delivery accountability

• Strong understanding of software design principles

• AI-driven SDLC (required): hands-on experience shipping production code with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor. The bar is not awareness; it is daily use in delivering real software.

• Familiarity with .NET/C#, Go, Python, Java, React, MS SQL Server, Azure or AWS.

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Has done at least one platform migration in a significant capacity

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Familiar with incremental migration patterns

Worked in .NET or SQL Server AND has modern stack experience (Python, Go, Postgres)

• Full-stack awareness: comfortable contributing across layers of the stack when needed; purely single-layer specialists are not the target profile.

• Experience with e-commerce platforms, product catalogs, or high-traffic consumer applications.

• Experience working in distributed teams across the US, China, and Latin America

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Articulates tradeoffs (consistency vs. availability, build vs. buy, etc.)