Jobs at Coupang

The Senior Staff Machine Learning Engineer will lead innovative AI engineering projects and optimize algorithms for e-commerce applications, collaborating across teams to drive significant business impact.

Lead the design of a distributed backend streaming engine with a focus on high availability and AI integration, ensuring low latency and high throughput.

Lead database engineering and AI-driven automation for high-traffic e-commerce systems. Manage Aurora MySQL/PostgreSQL and multiple NoSQL stores, optimize performance, ensure 5-6 nines availability, build automation and self-healing using Python and AI, run on-call rotations, execute upgrades/migrations, and collaborate with dev, infra, and security teams.

The Senior Staff Backend Engineer will enhance cloud infrastructure's reliability and efficiency, design scalable systems, and collaborate across teams to improve architecture and deployment automation.

Lead design and implementation of a next-generation Resource Manager and AI developer tools. Build scalable, event-driven microservices, improve ML workflow orchestration, model management, and observability. Mentor engineers, drive architectural decisions, collaborate with product and compliance, and take end-to-end ownership for platform reliability, performance, and operations.

The Staff Backend Engineer will architect and implement a scalable, reliable workflow engine, focusing on extreme availability and integrating AI for automation.

Lead the architectural design and implementation of a highly scalable workflow engine for Coupang, ensuring extreme availability and AI integration while collaborating across teams.

The Product Manager is responsible for defining the product strategy and lifecycle for the HPC compute platform, managing customer-ready compute products, and driving improvements to compute offerings based on enterprise AI workload requirements.

The role involves architecting and scaling data processing pipelines, building a data platform for ad serving, and transforming complex business strategies into efficient systems. Strong backend expertise in large-scale data systems is required.

Design and build scalable backend services for real-time distribution of orders, ensuring reliability and operational excellence in a fast-paced environment.

Design, develop, and operate large-scale backend and data systems to support third-party seller experiences. Build scalable data pipelines and infrastructure, ensure high availability, own projects end-to-end, and collaborate with product and technical teams to drive growth and performance.

Design, build, deploy, and maintain large-scale workflow platform infrastructure (e.g., Temporal, Netflix Conductor). Ensure 99.995% reliability, capacity planning, benchmarking, monitoring/alerting, production incident response, and collaborate to make the platform extensible for high-throughput, low-latency backend services.

Lead and oversee the development and operations of AI infrastructure orchestration, focusing on team management, strategic vision, and technology integration.