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.