Sr. Staff, Back-end Engineer (Growth Engineering)
Confirmed live in the last 24 hours
Coupang
Job Description
About Coupang
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview:
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 coding skills, with emphasis on data structures, algorithms, problem sol
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