Key Responsibilities:
- Design, develop, and automate large-scale, high-performance streaming data processing systems to drive business growth and enhance product experience
- Build scalable infrastructure and pipelines using best-in-class software engineering practices
- Ensure the platform supports high availability, reliability, and low-latency.
- Take full ownership end to end: from solution investigation/benchmark, development to operational health
- Establish and execute short and long-term architectural roadmaps
- Drive continuous improvement to the efficiency and flexibility of the data, platform, and services while maintaining a high bar for customer trust, performance, and availability
- Collaborate with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions
- Implement data quality and validation processes to ensure the accuracy and consistency of ingested data
Basic Qualifications:
- 10+ years of professional software development experience
- 5+ years of experience in data-related products with proficiency in Spark, Flink, Spring, and Java
- Experience with open-source frameworks and technologies, like Spring, AWS, APIs, NoSQL, Big Data Technologies (Kafka, Hive, Cassandra, ClickHouse, Apache Flink, Apache Spark, or similar)
- Excellent coding skills, with emphasis on data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis
- Distributed systems experience is a must, should be skilled at designing, implementing, and maintaining systems at scale, and working on tradeoffs based on business demand
- Taking ownership comes naturally to you and you thrive in an environment where priorities and requirements are not always clear
- Comfortable working and learning in an agile, fast-paced environment
- Bachelor’s degree in computer science or related field
Preferred Qualifications:
- Experience taking a leading role in building complex software systems that have been successfully delivered to customers
- Experience with internet-scale datasets and feature engineering (feature pipeline and feature store development)
- Experience communicating with users, other technical teams and senior management to collect requirements, describe software product features, technical designs and product strategy
- Experience influencing software engineering best practices
- Hands-on expertise in many disparate technologies, ranging from front-end user interfaces through to back-end systems and all points in between
- Experience working backwards from the customer and delivering innovative, simple solutions
- Fluency in oral English
At Coupang, you will:
- Work on a challenging and impactful project that directly influences Coupang's user acquisition and engagement strategies
- Collaborate with a talented global team of engineers, data scientists, and product owners who are passionate about building innovative solutions
If you are a passionate engineer with the skills and experience to make a significant impact on Coupang's user understanding and personalization efforts, we encourage you to apply!
