Staff Software Engineer - AI Traffic & Inference Infrastructure

Posted 11 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
eCommerce
Building the future of eCommerce. We push the boundaries of what’s possible to solve problems!
The Role
Design and implement intelligent routing and inference orchestration for AI workloads, optimize system performance, and lead technical initiatives across teams.
Summary Generated by Built In

Company Introduction 

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’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established 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 large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs 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

As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.

What You Will Do

  • Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health. 

  • Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover. 

  • Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques. 

  • Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands. 

  • Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments. 

  • Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management. 


Basic Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. 
  • Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations. 

  • Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization. 

  • Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems. 

  • Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale. 

  • Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production. 


Preferred Qualifications

  • AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters. 

  • Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators. 

  • Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP. 

  • Compliance: Experience operating in regulated environments with strict security and compliance requirements. 

 

Type of work model 

  • Hybrid

Details to consider 

  • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
     

Privacy Notice  

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  • 8-12 years of progressive software engineering experience
  • Strong proficiency in Go or Python
  • Expert-level knowledge of Kubernetes internals
  • Proven experience with load balancing and request routing
  • Track record of maintaining high-availability systems in production

Coupang Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coupang and has not been reviewed or approved by Coupang.

  • Healthcare Strength Benefits are described as robust, including medical, dental, vision, disability, life, mental health, and transgender healthcare. Some locations also offer on-site or virtual health screenings that enhance preventive care access.
  • Retirement Support Financial programs include a 401(k) with company matching and an employee stock purchase plan alongside performance bonuses. Feedback suggests these elements provide a structured foundation for long-term savings and wealth building.
  • Leave & Time Off Breadth Paid time off is described as generous with accrual increasing with tenure, complemented by company-paid holidays and parental leave. Flexible work arrangements in some roles further support time away when needed.

Coupang Insights

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The Company
Mountain View, CA
70,000 Employees
Year Founded: 2010

What We Do

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’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established 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 large global public company. This fuels us to continue our growth and launch new services at the speed we have been 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.

Why Work With Us

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 since our inception. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact.

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