Back End Developer — Java / Spring Boot
## 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
## 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
## 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