Sr. Staff, Back-end engineer [Promise Platform]

Coupang•Seattle, WA

43d•$171,000 - $351,000

About The Position

Coupang relies on technology to provide on time, fast delivery of products to customers every day. The Global Inventory and Promise Systems organization (GIPS) is responsible for promises made to customers around inventory, serviceability, and delivery dates. And based on that promise, optimizes for fulfillment such that fulfillment can happen at the lowest possible cost while maintaining the promise date. This creates unique tech challenges in terms of low-latency event processing, low-latency data serving, and consistency challenges. Building highly available, low latency, scalable, strong, consistent systems to handle billions of promise requests made per day is a complex architectural challenge. The ideal candidate will have excellent engineering skills, business sense, and rich experience leading the build of extensible and scalable solutions to solve complex business features.

Requirements

8+ years of experience working directly within engineering teams in a fast-moving environment.
8+ years of experience in developing and operating backend services and web applications for low latency servicing and messaging systems using complex event processing.
8+ years of experience architecting and designing (architecture, design patterns, reliability, and scaling) of new and current systems.
Experience building complex, high-performance, highly available distributed software systems successfully delivered to customers.
Experience in collaborating with cross-functional teams to define mission, vision, and roadmaps.
Experience partnering with product and program management teams.
Bachelor, Master or PhD degree in Computer Science, Electronic Engineering, Industrial Engineering, or related discipline with 8+ years of experience with large scale backend distributed systems.

Nice To Haves

Experience on creating simulation systems that would simulate outputs coming from Operation research optimization algorithms for data especially for an E-commerce infrastructure.
Experience with distributed cache such as Apache Ignite, Redis, etc., with distributed processing of data streams using Spark and Flink.
Experience with Kafka, Stream Processing, Complex Event Processing, data synchronization between systems, low latency serving systems, writing real time data into data sinks with high throughput.
Experience in building strongly consistent and low latency data synchronization and processing systems.
Solid engineering skills as a lead engineer to coach and lead high-performing software engineers and keep them motivated.
Demonstrated leadership in a cross-functional, highly collaborative environment.
Track record of developing engineers through various career stages and building high-performance teams.
Demonstrated focus on continuously improving systems, software, and processes through data analysis and metrics.
Able to operate independently and lead through ambiguity in fast-paced environments.
Experience with AWS, Java language would be a plus.

Responsibilities

Lead and drive architecture design of Fulfillment Optimization systems for scale, consistency, low latency, future extensibility, and reliability.
Envision and drive alignment with stakeholders of the appropriate roadmap and future technology direction for Fulfillment Optimization systems.
Navigate and alleviate technical obstacles and blockers at the organizational level.
Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and "move with urgency."
Participate in the architecture, development, testing, deployment, and delivery of large-scale global software applications, systems, platforms, services, or technologies.
Write code when necessary to lead by example and help with high-priority projects.