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