Back End Developer — Java / Spring Boot

Zensar Technologies · IT Services & Consulting

## 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