AI-Enhanced Java & J2EE Backend Analyst (Remote)

UST España & Latam; España; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual leave 23 days

Health care plan

Teleworking compensation

Training platforms

Career plans

Remote work policy

Descripción de la vacante

UST España & Latam is seeking an AI‑Assisted Code Analyst to enhance Java/Spring Boot applications with a focus on reducing technical debt and optimizing performance. You will leverage AI tools like GitHub Copilot and Devin to accelerate analysis, refactoring, and documentation.

The role is 100% remote and based in Spain, with responsibilities spanning code analysis, performance improvements, and collaboration with cross‑functional engineering teams in a fast‑paced environment.

Formación

• Minimum 3 years of experience as a developer in the required areas.
• Knowledge and experience in AI-powered tools (GitHub Copilot, Devin).
• Proficiency in Java, Spring Boot, APIs, and Microservices.

Responsabilidades

• Develop specifications and deliver technical components for operation and integration.
• Document solutions in JIRA, Confluence, ALM.
• Analyze Java/Spring Boot apps to ensure quality, scalability, and debt reduction.
• Leverage AI-powered tools to accelerate analysis, refactoring, and docs.
• Collaborate with engineering to identify performance bottlenecks and improvements.
• Support backend/frontend DevOps best practices and CI/CD processes.
• Coordinate requests with production support teams.

Conocimientos

Java

Spring Boot

J2EE

APIs

Microservices

Maven

HTML

Git

CI/CD

DevOps

English

Herramientas

Fortify

SonarQube

Descripción del empleo

UST España & Latam is seeking an AI‑Assisted Code Analyst to enhance Java/Spring Boot applications with a focus on reducing technical debt and optimizing performance. You will leverage AI tools like GitHub Copilot and Devin to accelerate analysis, refactoring, and documentation.

The role is 100% remote and based in Spain, with responsibilities spanning code analysis, performance improvements, and collaboration with cross‑functional engineering teams in a fast‑paced environment.