Senior Java Engineer — Cloud-Native Microservices Remote EU

Salve.Inno Consulting; A distancia; EUR 140.000 - 150.000; Jornada completa

Descripción de la vacante

A leading consulting firm is seeking a Senior Java Engineer to shape backend architecture and contribute to product decisions. This role involves working on 3-4 microservices, collaborating closely with Product Owners, and utilizing cloud-native environments, primarily on AWS. The ideal candidate will have over 10 years of Java engineering experience and must have strong skills in Kubernetes and Docker. This position offers a remote-first work model, a long-term contract, and competitive compensation, along with 20 days of paid time off.

Servicios

Work on cutting-edge AI systems

Dynamic multi-disciplinary teams

Remote-first work model

Long-term B2B contract

20 days paid time off

Apple gear

Training & development budget

Formación

• 10 years in Java engineering.
• Strong experience with microservices/distributed systems.
• Very solid knowledge of AWS services.
• Strong Kubernetes/Docker skills (must-have).
• Ability to contribute to Python codebases.
• Good understanding of CI/CD, REST APIs, SQL.
• Comfortable working with AI-driven tools.
• Proactive, ownership-driven, adaptable.

Responsabilidades

• Build and maintain backend services and APIs in Java.
• Work across multiple microservices (3-4) simultaneously.
• Collaborate closely with Product Owners on technical direction.
• Contribute to cloud-native architecture on AWS.
• Deploy and operate services using Kubernetes and Docker.

Conocimientos

APIs

Docker

Jenkins

REST

Python

AWS

NoSQL

MySQL

JavaScript

PostgreSQL

Django

Git

Descripción del empleo

A leading consulting firm is seeking a Senior Java Engineer to shape backend architecture and contribute to product decisions. This role involves working on 3-4 microservices, collaborating closely with Product Owners, and utilizing cloud-native environments, primarily on AWS. The ideal candidate will have over 10 years of Java engineering experience and must have strong skills in Kubernetes and Docker. This position offers a remote-first work model, a long-term contract, and competitive compensation, along with 20 days of paid time off.