[Growth Engineering] Senior Staff Back-end Engineer I

In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang's growth and marketing efficiency. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for user profile, landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others. As a Senior Staff Engineer within Coupang’s Growth Engineering team, you will be instrumental in architecting and developing a next-generation CRM platform. You will lead initiatives to ensure the platform delivers an end-to-end campaign management including Campaign Plan, Target Customer Selection, Promotion optimization, Product Selection, Creative Management, Landing Page Creation and Campaign Performance Measurement. Design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your expertise will directly contribute to advancing Coupang’s data-driven capabilities, aligning technical innovation with strategic business objectives. 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 problem solving, refactoring, performance improvement and complexity analysis Experience building real-time recommendation systems or personalization engines for e-commerce, retail, or digital marketing 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 with AI agent and autonomous decision-making systems for marketing automation 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 f