
Binance Accelerator Program - QA Engineer (Big Data)
BinancePosted 3/17/2025

Binance Accelerator Program - QA Engineer (Big Data)
Binance
Job Location
Job Summary
The Binance Accelerator Program - QA Engineer (Big Data) is a 6-month program designed for Early Career Talent to experience life at Binance and understand the inner workings of the world's leading blockchain ecosystem. As a QA Engineer, you will work closely with team members to test and deliver high-quality products, design and develop test cases, execute functional and regression tests, identify bugs, and create automation scripts. This role is ideal for current university students and recent graduates with an undergraduate or postgraduate degree in computer science, software engineering, or related fields. You will collaborate with world-class talent in a user-centric global organization with a flat structure, tackle unique projects with autonomy, and thrive in a results-driven workplace with opportunities for career growth and continuous learning. Binance offers a competitive salary, company benefits, and flexible work arrangements, including the option to work from home. By joining this program, you will shape the future of blockchain technology and contribute to groundbreaking projects.
Job Description
Responsibilities:
- Work closely with team members to test and deliver high quality products.
- Understand business scenarios and tech design, design and develop test cases, and organize test case reviews.
- Execute test cases and identify issues through functional and regression tests.
- Identify, track bugs to be fixed and make sure delivery on time.
- Design, develop and execute automation scripts to increase efficiency
Requirements:
- Undergraduate or postgraduate in computer science, software engineering or related fields.
- Understanding of software engineering, QA methodologies, terminology and best practices.
- Experience with at least one of Java, python, or other programming languages.
- Familiar with Linux, database or cloud services
- Strong analytical and trouble-shooting skills.
- Good communication and collaboration skills in a fast-paced environment.
- Fast learner and strong work ethic.
- Understanding big data pipelines or middlewares is a plus.
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