Responsibilities

• Build and operate innovative big data computing frameworks and storage systems to empower large-scale platform services.
• Design and optimize high-concurrency distributed systems to ensure stability during peak global traffic.
• Collaborate cross-functionally with internal and external stakeholders to drive large-scale engineering initiatives.
• Drive technical innovation by integrating new ideas and emerging technologies into the core platform.
• Enhance system efficiency and scalability to support the rapid growth of the global e-commerce ecosystem.

Requirements

• Individuals who are completing or have recently completed a Bachelor's/Master's degree in Computer Science, Engineering, Math, Statistics, or a related discipline.
• Experience in big data processing and storage frameworks, e.g. Hadoop, Flink, Spark, Kafka, Hive, HBase, Redis, RocksDB, etc.
• Strong Computer Science fundamentals (coding, algorithms, data structures, software design) and problem-solving skills.
• Ability to think critically and to formulate solutions to problems in a clear and concise way;
• Effective communication skills and a sense of ownership and drive.

Preferred

• Experience in risk control or governance domain.
• Experience with building large-scale machine learning infrastructure.
• Experience of Peta Byte level data processing.

Benefits

• Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others.
• Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
• The Company reserves the right to modify or change these benefits programs at any time, with or without notice.