Java Developer

Responsibilities:

• Design and develop scalable backend microservices and APIs using Java (Spring Boot) with clean, maintainable, and testable code.
• Build responsive and modular front-end applications with Vue.js (or similar frameworks), following best UI/UX and component architecture practices.
• Deploy and manage cloud infrastructure on Microsoft Azure, leveraging DevOps pipelines, containers (Docker/Kubernetes), and infrastructure-as-code.
• Implement end-to-end testing with Cypress and apply test-driven development (TDD) principles.
• Integrate AI-powered tools and frameworks to automate repetitive development and testing tasks, allowing focus on core business logic.
• Collaborate with global teams — product owners, architects, and developers — ensuring clarity, alignment, and timely delivery.
• Mentor peers to promote clean code, engineering excellence, and continuous improvement.
• Take full ownership of deliverables, ensuring high-quality software within agreed timelines.

Profile:

A highly skilled Java Developer (5+ years of experience) who thrives on solving complex technical challenges and delivering end-to-end solutions. Combines strong backend expertise in Java and Spring Boot with modern frontend skills in Vue.js, and practical experience in Azure cloud and Cypress automation.

Technical Expertise:

• Java (8+) – deep understanding of core Java, concurrency, JVM internals, and functional programming.
• Frameworks – Spring Boot, Spring Security, Hibernate, and reactive frameworks (WebFlux).
• Frontend – Vue.js, JavaScript/TypeScript, CSS preprocessors (SASS/LESS).
• Cloud – Azure App Services, AKS, Azure DevOps, or similar cloud environments.
• Testing – Cypress (UI testing), JUnit 5, Mockito for backend unit/integration tests.
• Build & CI/CD – Maven, Gradle, Git, Jenkins, GitHub Actions, Azure Pipelines.
• Containers & Orchestration – Docker, Kubernetes (AKS).
• Automation & Monitoring – Prometheus, ELK stack, SonarQube.
• AI Tools – experience with GitHub Copilot, AI-assisted code generation, and ML libraries.
• Databases – SQL & NoSQL (PostgreSQL, MongoDB), schema design and performance optimization.
• Methodologies – Agile/Scrum, distributed collaboration, strong communication skills.

Personal Attributes:

• Self-disciplined and dependable — delivers on commitments with excellence.
• Passionate about AI integration, automation, and modern cloud-native development.
• Strong analytical and problem-solving mindset.
• Team-oriented, proactive mentor, and continuous learner.