Senior Backend Engineer (Java)

Wizeline · Barcelonasenior

En corto

▸Ingeniero backend senior en Java construyendo aplicaciones escalables con IA y microservicios.
▸Día a día: desarrollo de backend en Java, diseño de arquitecturas basadas en agentes de IA, y despliegue en la nube con Docker y CI/CD.
▸Lo destacado: trabajo directo con IA-powered agents y modelos de lenguaje, en un entorno global de innovación.

Advanced / Fluent (spoken and written)

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¿Qué piden?

✓Licenciatura en Ciencias de la Computación, Ingeniería o campo relacionado.
✓5+ años de experiencia en desarrollo de software profesional.
✓Experiencia extensa y alta en Java.
✓Experiencia significativa con bases de datos relacionales.
✓Experiencia en entornos en la nube (despliegue de aplicaciones).
✓Experiencia práctica en desarrollo de agentes de IA.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Javarelational databasescloud-based environmentsAI-powered agentsmicroservicesDockerCI/CD.NETC#Microsoft .NET / C#

¿A quién escribirle en Wizeline?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Senior Backend Engineer (Java) We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: We are looking for a Senior Backend Engineer (Java) to design, develop, and deploy scalable applications in a modern, cloud-based environment. In this role, you will work with Java, relational databases, microservices, cloud technologies, and AI-powered agents while collaborating with cross-functional teams to deliver high-quality solutions. Key Responsibilities • Design, develop, and maintain scalable applications using Java and modern software development practices. • Develop and integrate AI-powered agents , leveraging agent-based architectures and emerging AI technologies. • Design, implement, and optimize solutions using relational databases . • Design and deploy applications in cloud-based environments . • Build and maintain microservices-based architectures using Docker and related technologies. • Collaborate with engineering teams to implement reliable and maintainable software solutions. • Participate in Continuous Integration and Continuous Deployment (CI/CD) processes and follow modern DevOps practices. • Develop and maintain applications using Microsoft .NET / C# when required. • Troubleshoot technical issues, identify root causes, and implement effective solutions. • Maintain high standards of code quality, reliability, and performance. • Communicate technical concepts effectively with technical and non-technical stakeholders. • Contribute to continuous improvement of development processes and engineering practices. Must-have Skills • Bachelor’s Degree in Computer Science, Engineering, or a related field. • 5+ years of professional software development experience. • Extensive experience and high proficiency in Java . • Significant experience working with relational databases . • Experience designing and deploying applications in cloud-based environments . • Hands-on experience coding and developing AI agents . • Experience with Docker and microservices technologies . • Familiarity with Continuous Integration and Continuous Deployment (CI/CD) concepts. • Professional experience with Microsoft .NET / C# . • Excellent problem-solving and analytical skills. • Strong attention to detail with a quality-focused mindset. • Excellent written and verbal communication skills. • English level: Advanced / Fluent (spoken and written). Nice-to-have • AI Tooling Proficiency : Ability to leverage AI tools to improve development productivity, including coding, debugging, documentation, analysis, and automation. • Experience working with Large Language Models (LLMs) . • Experience implementing Retrieval-Augmented Generation (RAG) solutions. • Knowledge of AI agent

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