Back End Developer — Java / Spring Boot

Description

## Key Responsibilities

• Design and develop robust, scalable RESTful APIs and microservices using Java, Spring, and Spring Boot
• Package and deploy applications using containerisation (Docker), following best practices for image creation and environment portability
• Collaborate with front-end developers, architects, and product owners to deliver high-quality software increments
• Participate in code reviews, providing and receiving constructive feedback to maintain code quality
• Write unit, integration, and component tests to ensure reliability and regression coverage
• Contribute to CI/CD pipelines and support deployment processes
• Identify, diagnose, and resolve performance bottlenecks and production issues
• Maintain clear technical documentation for services and APIs

Responsibilities

## Core Developer Competencies

• Problem solving — ability to break down complex technical problems and deliver pragmatic solutions
• Code quality — writing clean, maintainable, well-tested code with appropriate test coverage
• Version control — confident use of Git, branching strategies, and pull request workflows
• Agile delivery — comfortable working in sprint-based teams; familiar with scrum or kanban practices
• Communication — able to articulate technical decisions clearly to both technical and non-technical stakeholders
• Ownership — takes responsibility for features end-to-end, from development through to production

Qualifications

## Required Skills & Experience

| Skill | Detail |

|---|---|

| Java | Strong proficiency; idiomatic, clean, testable code |

| Spring / Spring Boot | REST APIs, dependency injection, Spring Security, Spring Data |

| Containerisation | Docker — image creation, multi-stage builds, runtime configuration |

| Experience | 3–5 years in a professional back-end development role |

## Nice-to-Have Skills

• MongoDB — document data modelling, aggregation pipelines, indexing strategies
• Apache Kafka — event-driven architecture, producers/consumers, topic management
• Elasticsearch — indexing, querying, and relevance tuning
• Kubernetes — deploying and managing containerised workloads, basic understanding of Pods, Services, and Deployments