Fullstack Engineer, Retail Media / AdTech Solutions (m/f/d)
Build and evolve full-stack applications and services for a Retail Media platform, delivering advertiser-facing features, backend APIs, integrations, and reliable user-friendly experiences.
Desenvolver, dar suporte, realizar manutenção, configurar e implantar produtos de software, seguindo as práticas e padrões determinados;
Realizar configurações nos ambientes de execução para implantação de software;
Diagnosticar e solucionar falhas e problemas de desempenho e segurança de software em ambiente de desenvolvimento e de execução;
Atuar no monitoramento de produtos de software e tratamento de incidentes.
Imprescindível:
Experiência no desenvolvimento de sistemas fullstack.
Experiência no desenvolvimento de sistemas usando:
Java, Rest, SpringBoot, Hibernate, Maven, Git, IntelliJ, Docker, Kubernetes, Test Driven Development (TDD), JUnit, Cucumber, Sonar, DevOps, Integração Contínua, IBM DB2.
FRONT-END - Spring, DEVOPS - Devops, FRONT-END - JavaScript, TESTES - Testes de Integração, AGILIDADE - TDD, FRONT-END - CSS3, TESTES - Junit, PRODUTIVIDADE - IntelliJ, FRONT-END - HTML 5, DATABASE - Db2, TESTES - Testes de Funcionalidade, METODOLOGIAS - SCRUM, FRONT-END - Angular, BACK-END - Java, DEVOPS - Docker, TESTES - Cucumber, AGILIDADE - KANBAN, BACK-END - XML, INTEGRAÇÃO CONTÍNUA - Git
FORMAÇÃO SUPERIOR - COMPLETO
Build and evolve full-stack applications and services for a Retail Media platform, delivering advertiser-facing features, backend APIs, integrations, and reliable user-friendly experiences.
Build and evolve full-stack applications and services for a Retail Media platform, delivering advertiser-facing features, backend APIs, integrations, and reliable user-friendly experiences.
Build and ship end-to-end features for an AI neobank, spanning frontend, backend, APIs, databases, internal tools, and customer workflows, while owning production reliability and ongoing improvements.
Build and ship end-to-end features for an AI neobank, spanning frontend, backend, APIs, databases, customer workflows, and internal tools, while owning production reliability and continuous improvement.
Build and ship end-to-end features for an AI neobank, spanning frontend, backend, APIs, databases, internal tools, and customer workflows, then monitor and improve them in production.