Senior Staff BE Engineer

Company:  Coupang
Location: Seattle
Closing Date: 28/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Sr. Staff Engineer - Supply Chain Optimization

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 more effortless than ever, we are collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We’re one of the fastest-growing e-commerce companies with an unparalleled reputation for being a dominant 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 significant global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Role Overview

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. 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.

What You Will Do

  • 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.
  • 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.

Basic Qualifications

  • 10+ years of experience working directly within engineering teams in a fast-moving environment.
  • 10+ years of experience in developing and operating backend services and web applications for low latency servicing and messaging systems.
  • 10+ years of experience architecting and designing 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.

Preferred Qualifications

  • 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.
  • Experience with Kafka, Stream Processing, Complex Event Processing, data synchronization between systems.
  • 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.
  • Demonstrated leadership in a cross-functional, highly collaborative environment.
  • Track record of developing engineers through various career stages.
  • 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.

Minimum Qualifications

  • Bachelor, Master or PhD degree in Computer Science, Electronic Engineering, Industrial Engineering, or related discipline with 10+ years of experience with large scale backend distributed systems.
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