Ai-First Backend Developer (Java/Quarkus)

Ceiia; Porto; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

CEiiA procura um Backend Developer com foco em soluções de alto desempenho para a camada de backend, utilizando Java e Quarkus. O candidato colaborará com equipas de QA e produto para entregar APIs escaláveis e bem testadas, recorrendo a ferramentas de IA para acelerar tarefas diárias.

Requisitos incluem 4+ anos em desenvolvimento, conhecimento de Java/Quarkus e experiência com ferramentas de IA como Copilot, Duo ou Claude Code.

Qualificações

• 4+ years of hands-on experience in backend development.
• Experience with Java. (Quarkus is a plus)
• Practical experience using AI-assisted development tools as part of daily workflow.
• Experience designing and building APIs and Java-based microservices that run reliably in production.
• Experience writing automated unit and integration tests for backend systems.
• Ability to understand the functional and business context before designing the solution.
• Curiosity and willingness to experiment with AI tools in development.

Responsabilidades

• Design, build and maintain backend services and APIs using Java e Quarkus.
• Usar ferramentas de IA no fluxo de trabalho diário para acelerar codificação, testes e revisão de código.
• Escrever testes automatizados (unidade e integração) para serviços backend.
• Participar em code reviews, mantendo padrões de engenharia e qualidade de código.
• Investigar e resolver problemas em pipelines CI/CD com IA para acelerar a análise de causa raiz.
• Colaborar estreitamente com outros engenheiros backend, QA e product para entregar software confiável.

Conhecimentos

Backend dev

Java

Quarkus

AI tools

API design

Unit tests

CI/CD

English

Ferramentas

GitHub Copilot

GitLab Duo

Claude Code

Descrição da oferta de emprego

Ai-First Backend Developer (Java/Quarkus) CEiiA São Mamede De Infesta, Portuguese Republic, PT

Descrição do cargo

Randstad operates in Portugal and worldwide as a leader in the field of human resources across various sectors of activity. The Digital division focuses exclusively on the IT sector, offering unique opportunities for professional development.

• responsabilidades chave

  - Design, build and maintain backend services and APIs using Java and Quarkus.
  - Use AI tools such as GitLab Duo and Claude Code as part of your daily workflow to accelerate
  coding, testing, debugging and code review.
  - Solve day-to-day backend team tasks – features, bug fixes, refactors, integrations – leveraging AI
  to move faster without compromising quality.
  - Write automated tests (unit and integration) for backend services, using AI to speed up test
  creation and improve coverage.
  - Take part in code reviews – both AI-assisted and with teammates – ensuring code quality and
  adherence to our engineering standards.
  - Troubleshoot and resolve issues in CI/CD pipelines, using GitLab Duo to speed up root-cause
  analysis.
  - Collaborate closely with other backend engineers, QA and product to deliver reliable, well-tested
  software.

• competências

  - 4+ years of hands-on experience in backend development
  - Experience with Java. (Quarkus is a plus)
  - Practical experience using AI-assisted development tools such as GitHub Copilot, GitLab Duo,
  Claude Code, or similar as part of a daily engineering workflow.
  - Experience designing and building APIs and Java-based microservices that run reliably at scale
  in production.
  - Experience writing automated unit and integration tests for backend systems.
  - Ability to understand the functional and business context of a feature before designing the
  technical solution.
  - Curiosity and willingness to experiment with new AI tools and integrate them responsibly into
  day-to-day development practices.
  - Comfortable working in a fast-moving environment where AI-assisted development practices
  are still evolving.
  - Strong attention to detail, critical thinking, and problem-solving skills.
  - Good verbal and written communication skills in English.
  - Collaborative, adaptable, and able to manage multiple priorities effectively

• Nice to Have

  - Experience with LLM-based integrations, Retrieval-Augmented Generation (RAG), or agent
  orchestration workflows.
  - Familiarity with MCP (Model Context Protocol) or similar tool/context integrations that connect
  AI assistants to internal systems.
  - Exposure to AI-native development practices beyond code completion, such as spec-driven
  development frameworks, custom prompt or skill libraries, and automation workflows.

• principais benefícios

  Randstad is on a mission to become the world's most equitable and specialized talent company. Therefore, we emphasize that we welcome individuals with the most diverse abilities and backgrounds. We are committed to ensuring that our recruitment and hiring process meets the needs of everyone. If you require any accommodations to make your application or interview more comfortable, please do not hesitate to inform our recruitment consultants.