Website
Java Engineer
Ebay
Updated on: 12 July 2025
Additional Details
Website
Work Location
Bengaluru, India
Job Type
FTE
Batch
2025 | 2024 | 2023 | 2022
Stream Required
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
Salary
14-20 LPA (Expected)
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Join the Marketing Technologies Platform Team that powers billions of communications per day sent to customers across the world. This team plays a pivotal role in delivering personalized and timely customer engagement experiences across eBay's global user base.
We are seeking an enthusiastic and motivated Java Developer to join our growing engineering team. This is an excellent opportunity for a recent graduate or an early-career professional to kickstart their career in software development. In this role, you will work under the guidance of senior developers, contributing to the development, testing, and maintenance of our Java-based applications and services. You will gain hands-on experience with modern technologies and best practices in a collaborative and supportive environment.
Bug Fixing: Assist in identifying and resolving software defects and issues.
Testing: Participate in unit testing and support integration testing to ensure code quality.
Learning & Growth: Actively learn new technologies, tools, and best practices from senior team members and through self-study.
Collaboration: Work closely with team members, including senior developers, QA, and product owners, to understand requirements and contribute to project goals.
Documentation: Assist in creating and maintaining technical documentation.
Code Review Participation: Learn from and contribute to code reviews.
Support: Provide support for existing applications as needed.
Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
Experience: 0-2 years of professional experience in Java development, or strong academic project experience.
Core Java: Foundational understanding of Java, including object-oriented programming (OOP) concepts, basic data structures, and algorithms.
Databases: Basic understanding of relational databases and SQL.
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.
Tools: Familiarity with version control systems (e.g., Git).
Problem Solving: Eagerness to learn and a basic aptitude for problem-solving.
Communication: Good verbal and written communication skills and a willingness to ask questions.
Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., via models like OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.
Exposure to Spring Framework (e.g., Spring Boot) through coursework or personal projects.
Basic understanding of RESTful APIs.
Familiarity with any build tool (e.g., Maven, Gradle).
Experience with unit testing frameworks (e.g., JUnit).
Any exposure to cloud platforms (e.g., AWS, Azure, GCP) or containerization (Docker).
Understanding of Agile/Scrum methodologies.
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