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Back End Developer — Java / Spring Boot

Fa Etvl Saasfaprod1 · India

Software DevelopmentSenior LevelExternal listingfull-time5 days ago

About The Role

## 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

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