Description

Key Skills: Java, Java EE, Eclipse RCP, PostgreSQL, WildFly, JPA, Hibernate, Git, Azure DevOps, Docker

Good to Have Skills: SWT, JFace, Jakarta EE, JPQL, CriteriaBuilder, Maven, Eclipse Tycho, CI/CD pipelines, Agile/Scrum methodologies, enterprise software architecture, object-oriented development, clean code principles, design patterns, legacy system modernization, JVM tuning, automated build and release processes, forensic systems experience, LIMS platforms knowledge.

Roles & Responsibilities:

• Own and contribute to architecture and development of enterprise Java applications within the eLIMS-Forensics programme.
• Provide technical guidance on design and implementation across distributed development teams located in UK, Europe, nearshore and offshore locations.
• Support modernisation and evolution of legacy forensic systems ensuring scalable and maintainable solutions.
• Develop enterprise applications across client and server components using Java 11/17 and related technologies.
• Define software architecture for enterprise applications applying object-oriented design and design patterns including SOLID and Clean Code principles.
• Design and optimize backend services and data models using PostgreSQL, JPA/Hibernate, and JPQL/CriteriaBuilder for data-intensive systems.
• Develop and maintain CI/CD pipelines in Azure DevOps and manage containerized environments using Docker.
• Ensure high code quality through testing and best practices while performing performance profiling and JVM tuning.
• Work within Agile/Scrum delivery teams and collaborate across multiple delivery centers for effective project execution.
• Support team mobilization, onboarding, training and knowledge transfer while acting as technical interface between business and IT teams.

Experience Required: Extensive experience of 10+ years in enterprise Java development and DevOps practices with proven experience in architecture and hands-on development. Experience working in regulated or complex operational environments such as Forensics or LIMS is preferred.

Education: Bachelor's in Engineering or Master's in Computer Science or equivalent qualification

Key Skills

Education

Any Graduate