6935 Senior Software Engineer - Java / Springboot

Responsibilities

• Design and develop high-quality, scalable software features and services.
  
• Design, build, and maintain REST APIs.
  
• Develop enterprise applications using Java and Spring Boot.
  
• Work with modern microservices-based architectures.
  
• Apply software engineering best practices, including code reviews, unit testing, and peer programming.
  
• Translate customer and business requirements into technical designs.
  
• Collaborate with architects and engineering teams on software design and architecture.
  
• Balance new feature development, defect resolution, and technical debt.
  
• Work closely with DevOps teams to build and maintain CI/CD pipelines.
  
• Apply API management concepts and work with tools such as APIM.
  
• Participate actively in Agile ceremonies, including story refinement.
  
• Leverage AI-assisted engineering tools such as GitHub Copilot and Claude Code to accelerate development and improve code quality.
  
• Contribute to AI-powered applications, intelligent automation solutions, or Generative AI-enabled products.
  

Requisitos

Required Qualifications

• 8–12 years of professional software development experience, with a strong background in enterprise applications.
  
• Strong hands-on experience with Java 8/11/17+.
  
• Strong professional experience with Spring Boot.
  
• Hands-on experience with Spring MVC and Spring Security.
  
• Strong experience designing and developing REST APIs.
  
• Solid experience with Microservices Architecture.
  
• Understanding of API management concepts and platforms such as APIM.
  
• Experience with software engineering best practices, including unit testing and code reviews.
  
• Experience working with CI/CD and DevOps teams.
  
• Strong problem-solving and analytical skills.
  
• Ability to explain complex technical concepts clearly.
  
• Advanced English (B2+/C1) for collaboration with international teams.
  

? AI / GenAI Experience

Professional experience in at least one of the following areas is highly relevant:

• AI-powered software applications.
  
• Generative AI / LLM-enabled products.
  
• Intelligent automation solutions.
  
• Integration of AI capabilities or APIs into enterprise applications.
  
• AI-assisted software engineering workflows.