6935 Senior Software Engineer - Java / Springboot

Softgic S.; Ixtapaluca; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Softgic S. in Mexico is seeking a Senior Software Engineer (API) to design, develop, and support enterprise-grade applications and services. The role focuses on Java, Spring Boot, REST APIs, and microservices, with exposure to AI-powered tooling to accelerate development.

The ideal candidate has 8–12 years of experience in enterprise software, strong API design skills, and hands-on work with CI/CD and DevOps practices. English proficiency is required for global collaboration.

Formación

• 8–12 years of professional software development experience.
• Strong hands-on Java 8/11/17+ experience.
• Extensive Spring Boot, Spring MVC and Spring Security.
• REST APIs design and microservices architecture.
• Experience with CI/CD and DevOps teams.
• Advanced English for international collaboration.

Responsabilidades

• Design and develop scalable software features and services.
• Build and maintain REST APIs with Java and Spring Boot.
• Work within modern microservices-based architectures and collaborate with DevOps.
• Apply best practices like unit testing, code reviews, and peer programming.
• Engage in Agile ceremonies and AI-enabled tooling usage.

Conocimientos

Java

Spring Boot

REST APIs

Microservices

CI/CD

DevOps

English

Herramientas

APIM

Descripción del empleo

6935 Senior Software Engineer - Java / Springboot

Ixtapaluca, Mexico | Posted on 08/06/2026

We are looking for a Senior Software Engineer (API) with extensive experience in Java, Spring Boot, REST APIs, and Microservices to join a team responsible for designing, developing, and supporting client-facing applications and services

The ideal candidate is a hands-on senior engineer with strong enterprise software development experience, solid API and microservices expertise, and exposure to AI-powered applications, intelligent automation, or Generative AI solutions .

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.
  

Requirements

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.
  
• Integration of AI capabilities or APIs into enterprise applications.
  
• AI-assisted software engineering workflows.