Senior Full-Stack Engineer - AI-Driven Platform Builder

Woodlaine Digital Solutions Ltd.

Portugal

Presencial

EUR 60 000 - 90 000

Tempo integral

Há 3 dias
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Resumo da oferta

Woodlaine Digital Solutions Ltd. is seeking a Senior Full-Stack Software Engineer to drive improvements across the platform, from internal tooling to AI-powered prototypes. You’ll decide what to build and implement it to production quality, tackling problems worth solving.

The role requires strong full-stack skills (C#/.NET and React/Next.js), practical AI experience, and the ability to own work end to end across multiple codebases while working in focused streams and iterative delivery.

Qualificações

  • Senior engineer with production software delivery experience.
  • Strong full-stack capability across C#/.NET and React/Next.js.
  • Practical experience using AI in development and AI-assisted tooling.

Responsabilidades

  • Identify, scope and deliver improvements across the platform.
  • Build internal tooling and automation to reduce manual work.
  • Prototype quickly and decide handover or kill.
  • Build AI-assisted features with cost, latency, security considerations.
  • Improve developer experience: build times, deployment friction, observability.
  • Handle technical debt and reliability work.
  • Deliver end to end across C# / .NET and React / Next.js.
  • Work across streams and codebases, earning trust.
  • Use agentic tooling like Claude Code, Curson and Codex with prudent judgment.

Conhecimentos

Full-stack
C# / .NET
React / Next.js
AI in software
Prototyping
Ownership
Problem solving

Descrição da oferta de emprego

Woodlaine Digital Solutions Ltd. is seeking a Senior Full-Stack Software Engineer to drive improvements across the platform, from internal tooling to AI-powered prototypes. You’ll decide what to build and implement it to production quality, tackling problems worth solving.

The role requires strong full-stack skills (C#/.NET and React/Next.js), practical AI experience, and the ability to own work end to end across multiple codebases while working in focused streams and iterative delivery.

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