Ebay Senior Java Engineer 

India, Karnataka, Bengaluru 

148211873

Software Development: Develop, test, and maintain robust and efficient Java applications and backend services.

Code Implementation: Write clean, well-structured, and maintainable code adhering to established coding standards and best practices.

Feature Development: Implement new features and functionalities based on product requirements and technical designs.

AI Assisted Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

Generative AI and Large Language Models: Understanding of large language models, prompt engineering, retrieval augmentation generation, Model Context Protocol is highly desirable.

Bug Fixing & Support: Identify, diagnose, and resolve software defects and contribute to production support as needed.

Collaboration: Work closely with senior developers, product owners, and QA engineers to understand requirements, contribute to technical designs, and ensure timely delivery of features.

Testing: Participate in unit testing, integration testing, and support user acceptance testing (UAT).

Code Review: Participate in code reviews, providing constructive feedback to peers and learning from others' code.

Documentation: Contribute to technical documentation for developed features and systems.

Continuous Improvement:

Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Experience: 7+ years of professional experience in Java development with a Bachelor's degree, or 5+ years with a Master's degree.

Core Java: Strong understanding of Java fundamentals, object-oriented programming (OOP) principles, data structures, and algorithms.

Frameworks: Hands-on experience with Spring Framework (Spring Boot, Spring MVC).

Web Technologies: Experience with RESTful APIs.

Databases: Proficiency with at least one relational database (e.g., PostgreSQL, MySQL, SQL Server) and basic SQL knowledge.

Tools: Experience with version control systems (Git) and build tools (Maven or Gradle).

AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

Problem Solving: Solid analytical and problem-solving skills.

Communication: Good verbal and written communication skills.

Experience with microservices architecture.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

Experience with message queues (e.g., Kafka, RabbitMQ).

Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript, React/Angular/Vue) is a plus.

Experience with Agile/Scrum development methodologies.

Familiarity with testing frameworks (e.g., JUnit, Mockito).