Java Software Engineer

NTT Ltd.
Barcelona, Spain
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Barcelona, Spain

Tech stack

Clean Code Principles
Java
Agile Methodologies
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
Relational Databases
Hibernate
Java Persistence API
JUnit
PostgreSQL
Enterprise Messaging Systems
Openshift
Scrum
Reference Data
Mockito
Software Deployment
Software Engineering
Data Processing
Spark
Spring-boot
Backend
Spring Data
Angular
Kubernetes
Kafka
Front End Software Development
Docker
Microservices

Job description

Are you ready to apply your engineering expertise to one of the world's most advanced, innovative, and reliable stock exchanges? At SIX, we value your technical talent and your passion for building exceptional solutions with a strong focus on user experience. As part of the Stock Exchange Development team, you will contribute to both front-end and back-end components of our state-of-the-art trading products. In this Software Engineer role.

What You Will Do apply your strong Java development skills (Java 8+/11) to build high-performance backend systems and enhance our Reference Data Managem translate user expectations and business requirements into innovative, high-quality technical designs, following Java best practices to deliver impactful solutions. ent system. ensure full compliance with internal policies and external regulatory requirements, maintaining the highest levels of security and reliability. collaborate effectively within an interdisciplinary Agile team, including developers, testers, product owners, and business stakeholders, working with frameworks such as SCRUM and SAFe.

Requirements

core Java development: 5+ years of hands-on experience with Java 8/11+, Spring Boot, and microservices architecture. familiarity with newer Java versions (e.g., Java 17/21) is a plus. basic knowledge of Apache Spark for data processing is beneficial but not required. cloud & data fundamentals: experience deploying applications on cloud platforms (Azure/OpenShift or AWS) using Docker, as well as basic Kubernetes knowledge. strong understanding of relational databases (PostgreSQL, Spring Data/JPA/Hibernate) and messaging systems such as Apache Kafka. full-stack awareness: strong back-end engineering skills with optional experience in front-end frameworks (e.g., Angular). proficiency in writing unit and integration tests (JUnit, Mockito) and applying software best practices including CI/CD and clean code principles.

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