Senior Java AI Engineer

EPAM Systems

Portugal

Presencial

EUR 50 000 - 70 000

Tempo integral

14 dias+

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Resumo da oferta

EPAM Systems is looking for a Senior Java AI Engineer to join our team in Lisbon, Portugal. The role involves designing microservices, ensuring quality in development practices, and monitoring code quality.

Candidates should have proven experience in backend development with Java and knowledge of DevOps tools. The position offers a hybrid work model, enabling flexibility for team members.

Qualificações

  • Proven experience in backend development with Java, Spring or Spring Boot and SQL.
  • Knowledge of DevOps tools including Jenkins, Ansible, Linux, and Kubernetes.
  • Strong understanding of Git and experience with AI tools.

Responsabilidades

  • Design microservices and develop them into production‑ready systems.
  • Ensure quality is embedded in all team development practices.
  • Participate in code reviews, release processes, and team meetings.

Conhecimentos

Backend development
Java
Spring/Spring Boot
SQL (T-SQL and PL-SQL)
DevOps tools (Jenkins, Ansible)
Linux proficiency
Git
AI tools
Problem-solving

Ferramentas

Kubernetes
Bash
Jira
Confluence

Descrição da oferta de emprego

We're looking for a Senior Java AI Engineer to join our team in Lisbon, Portugal in a hybrid working mode.

Responsibilities
  • Design microservices and develop them into production‑ready systems
  • Ensure quality is embedded in all team development practices
  • Participate in code reviews, release processes and team meetings
  • Monitor code quality, identify vulnerabilities and recommend improvements
  • Debug code and investigate issues to ensure system stability
  • Develop an understanding of business processes and their integration with software solutions
Requirements
  • Proven experience in backend development with Java, Spring or Spring Boot and SQL (T‑SQL and PL‑SQL)
  • Practical knowledge of DevOps tools including Jenkins, Ansible, Linux and Kubernetes
  • Proficiency with Linux operating systems and scripting using Bash
  • Strong understanding of Git for version control
  • Hands‑on experience with AI tools across the development lifecycle
  • Strong problem‑solving skills and ability to implement algorithms in real‑world scenarios
  • Familiarity with Jira and Confluence for task and knowledge management
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