Mid-Level Backend Engineer - Java Spring Boot, AI-Native

Epassi

Finland

A distancia

GBP 45.000 - 65.000

Jornada completa

hace 8 horas
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Descripción de la vacante

Epassi is hiring a Mid-Level Software Engineer (Java) to join a cross-functional backend team powering our product vision. You'll own backend services, grow technically, and contribute to reliable releases using Java Spring Boot.

Based in the UK or other European locations, you’ll work in an AI-native engineering environment, collaborate across the stack, and participate in agile ceremonies to continually improve the product and platform.

Formación

  • 2–4 years of professional software engineering experience, with at least 1 year building backend services with Java.
  • Solid Java & Spring Boot foundation with REST APIs and lifecycle awareness.
  • Experience with relational databases and JPA/Hibernate.

Responsabilidades

  • Build and maintain high-quality backend services using Java Spring Boot and own your work end-to-end.
  • Write clean, secure, and testable code following engineering standards.
  • Design RESTful APIs and collaborate with frontend engineers on contracts.
  • Ensure code quality via unit/integration tests and code reviews.
  • Debug and resolve issues in development and production, communicating root causes clearly.
  • Identify technical debt and propose improvements as you grow.
  • Support CI/CD pipelines and deployment processes and participate in agile ceremonies.

Conocimientos

Java & Spring Boot
REST APIs design
Testing (JUnit/Mockito)
Data persistence (JPA/Hibernate)
Git version control
CI/CD basics
AI-assisted development
Containerisation (Docker)

Herramientas

Docker
JUnit/Mockito
Git
Spring Boot tooling

Descripción del empleo

Epassi is hiring a Mid-Level Software Engineer (Java) to join a cross-functional backend team powering our product vision. You'll own backend services, grow technically, and contribute to reliable releases using Java Spring Boot.

Based in the UK or other European locations, you’ll work in an AI-native engineering environment, collaborate across the stack, and participate in agile ceremonies to continually improve the product and platform.

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