Senior Java Software Engineer

hace 2 semanas

Barcelona, Barcelona, España Wizeline A tiempo completo

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:

Key Responsibilities

  • Design, build, and maintain scalable backend services using Java and Spring Boot in a cloud-native AWS environment.
  • Develop and optimize RESTful APIs, microservices, and backend components following best engineering practices.
  • Collaborate closely with cross-functional teams—Product, DevOps, QA, and Frontend—to ensure seamless integration and high-quality product delivery.
  • Participate in architectural discussions, contributing to decisions that ensure scalability, security, and performance.
  • Troubleshoot complex backend issues, perform root-cause analysis, and provide long-term improvements to system stability.
  • Implement automation, monitoring, and CI/CD pipelines to improve development and deployment workflows.
  • Write clean, maintainable, and well-tested code, following engineering and security standards.

Must-have Skills

  • 5+ years of backend engineering experience working with Java and Spring Boot in production environments.
  • Strong hands-on experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, RDS/DynamoDB, CloudWatch, etc.).
  • Solid understanding of microservices architecture and distributed systems.
  • Experience building and consuming RESTful APIs.
  • Proficiency with CI/CD pipelines and tools (Jenkins, GitHub Actions, GitLab CI, etc.).
  • Strong understanding of relational and/or NoSQL databases.
  • Experience with unit testing, integration testing, and test automation frameworks.
  • Ability to work autonomously while collaborating effectively with a cross-functional team.
  • Excellent problem-solving and communication skills.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

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