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Director of Engineering, Security

Coupang

Director of Engineering, Security

Coupang

Mountain View, USA

·

On-site

·

Full-time

·

1w ago

Compensation

$159,000 - $351,000

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Parental Leave

Mental Health

Commuter Benefits

Healthcare

401k

Flexible Hours

Parental Leave

Mental Health

Commuter

Required Skills

Java

Spring Boot

AWS

Security architecture

Authentication and authorization

Cryptography

PKI systems

Distributed systems

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

We are looking for a hands-on Director of Engineering with deep technical expertise and a passion for building secure, reliable, and scalable systems. This role combines technical architecture leadership with people and delivery management. You will lead a team of talented senior engineers while staying close to the code and system design.

Your Mission

Drive the security, quality, and reliability of our core platforms and AI systems while mentoring engineers, scaling engineering excellence, and partnering closely with product and leadership on strategic roadmaps. As our organization increasingly leverages AI, LLMs, and Model Context Protocol (MCP) services, this role will define and enforce secure patterns for AI model training, hosting, and consumption at scale, ensuring innovation without compromising trust.

What You Will Do

  • Build and grow a high-performing team of senior/staff-level engineers across geographies, fostering autonomy, trust, and accountability.

  • Design and lead the architecture of secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services.

  • Integrate Generative AI capabilities (embeddings, RAG, LLM APIs) into product workflows responsibly and securely.

  • Define API security patterns and API authorization at scale for microservices and service mesh environments.

  • Lead design and implementation of authentication, authorization, and identity management solutions (SSO, OIDC, RBAC/ABAC, SCIM).

  • Champion cryptography and PKI systems, secure SDLC practices, and compliance frameworks.

  • Partner with leadership to deliver security-driven engineering roadmaps aligned with business priorities.

Basic Qualifications

  • Bachelor’s degree in Computer Science or related technical field.

  • 8+ years in software development and security engineering.

  • Proven experience designing and developing large-scale distributed systems.

  • Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS).

  • Strong knowledge of security architecture, authentication/authorization, cryptography, and PKI systems.

Preferred Qualifications

  • Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting.

  • Experience with cloud platforms (AWS, Azure, GCP) for identity and ML infrastructure.

  • Familiarity with Generative AI integration and secure deployment practices.

  • Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks.

  • Ability to influence technical direction and mentor engineers in security best practices.

  • Track record of delivering mission-critical, scalable systems in production environments.

Pay & Benefits

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $159,000/year in our lowest geographic market to $351,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

  • Medical/Dental/Vision/Life, AD&D insurance

  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)

  • Long-term/Short-term Disability

  • Employee Assistance Program (EAP) program

  • 401K Plan with Company Match

  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure

  • 12 Public Holidays

  • Paid Parental leave

  • Pre-tax commuter benefits

  • MTV - Free Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.   If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at  usrecruiting@coupang.com

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About Coupang

Coupang

An e-commerce platform that offers a wide variety of products, including apparel, electronics, and home goods.

10,001+

Employees

Seoul

Headquarters

$109B

Valuation

Reviews

2.5

9 reviews

Work Life Balance

2.1

Compensation

2.8

Culture

2.4

Career

3.2

Management

1.9

25%

Recommend to a Friend

Pros

Growth opportunities and career advancement

Good compensation and timely pay

Remote work flexibility

Cons

Poor work-life balance and long hours

Toxic management and controlling behavior

Poor working conditions and workplace safety

Salary Ranges

1 data points

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

2 interviews

Difficulty

4.0

/ 5

Offer Rate

50%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Behavioral/Culture Fit Interview

4

Coding Interview

5

Technical Interview

6

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit