Backend & Integration Java Developer m/w/d M/F

Crédit Agricole Group; Germany (OH); On-site; USD 70,000 - 100,000; Full time

Job summary

Crédit Agricole Group is seeking a Backend & Integration Java Developer to manage and evolve core enterprise applications. This role involves maintaining backend services primarily built with Java and Spring Boot while contributing to system integrations and modernization efforts.

Applicants should have a strong background in Java and related technologies, as well as experience with database performance optimization. The position will allow you to use innovative tools like ChatGPT to enhance coding and debugging efficiency.

Responsibilities

• Maintain, debug, and improve existing backend services built mainly with Java.
• Contribute to building and monitoring reliable integrations using tools like WebMethods.
• Design and consume REST and Web APIs to connect different functional domains.
• Work with Oracle 19c databases focusing on queries and performance.
• Participate in modernizing the platform towards microservices.
• Use AI-assisted development tools to speed up coding while ensuring quality.
• Collaborate with analysts and teams to align on specifications and releases.

Skills

Java (1.7/1.8)

Spring Boot

WebMethods

IBM MQ

SFTP

REST APIs

Oracle 19c

Microservices

GitHub Copilot

ChatGPT/Claude

Job description

We are looking for a Backend & Integration Java Developer to maintain and evolve a core enterprise application. You will work in a diverse environment, managing integrations with other systems and contributing to the modernization of the platform.

Main Responsibilities

• Maintain, debug, and improve existing backend services built mainly with Java (1.7/1.8), Spring Boot and some legacy components (EJB, Swing).
• Contribute to building and monitoring reliable integrations using tools such as WebMethods, IBM MQ and SFTP file transfers.
• Design and consume REST and Web APIs to connect different functional domains.
• Work with Oracle 19c databases on Unix environments, focusing on queries and data-related performance.
• Take part in the gradual modernization of the platform, including moving legacy parts towards microservices and containerized environments.
• Use AI-assisted development tools (e.g. GitHub Copilot, ChatGPT/Claude) in your daily work to speed up coding and debugging, while keeping a strong focus on code quality and security.
• Collaborate with Business Analysts, internal teams and external hosting partners (e.g. DXC) to align on technical specifications and releases.