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Sr. Director, AI Infrastructure
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-07-17
Listing for:
Coupang
Full Time
position Listed on 2026-07-17
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), IT Project Manager, SRE/Site Reliability
Job Description & How to Apply Below
Sr. Director Back-end Engineering – AI Infrastructure Orchestration Role Overview
- Define and execute the long‑term vision and roadmap for the company’s AI infrastructure orchestration layer, aligning it with overall business and AI Services goals.
- Lead, mentor, and grow a high‑performing engineering and operations team focused on AI infrastructure and platform engineering.
- Manage budget and resource allocation for AI infrastructure deliverables.
- Act as a key liaison between AI Infra and other services owners, core engineering, Cloud infrastructure, and executive leadership.
- Oversee the design, implementation, and maintenance of the core orchestration platforms for large‑scale AI model training (e.g., distributed training, hyperparameter tuning) and deployment (e.g., containerization, serverless functions, edge deployment).
- Ensure reliability, security, and compliance of the AI infrastructure, meeting strict standards for data governance and model integrity.
- Establish Service Level Objectives (SLOs) and Key Performance Indicators (KPIs) for the AI platform services and lead efforts for continuous optimization and performance tuning.
A successful Senior Director - AI Infrastructure Orchestration will be measured by:
- The time‑to‑market for AI infrastructure build, scale and operate.
- The resource utilization rate and cost efficiency of the AI compute infrastructure.
- The reliability and uptime of the core AI platform services.
- The talent retention and development within the AI Infrastructure team.
- Select, evaluate, and integrate the core technologies required for the AI stack (e.g., Kubernetes, Kubeflow, Ray, ML frameworks, GPU/accelerator management, distributed file systems).
- Champion infrastructure‑as‑code (IaC) principles to manage and provision AI resources consistently and at scale.
- Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. - Experience:
15+ years of progressive experience in software engineering, infrastructure, or platform operations. - 5+ years of experience leading and managing technical teams, ideally in a Director or Sr. Director level.
- Deep, hands‑on experience designing and operating large‑scale distributed systems and cloud‑native architectures
. - Proven experience specifically with AI infrastructure orchestration (e.g., using Kubernetes, Kubeflow, or similar MLOps tools) and managing accelerated compute resources (GPUs, TPUs, etc.).
- 15+ years of Cloud backend engineering, Cloud Design, Deployment, Dev Ops.
- 15+ years of experience leading system design, architecture leveraging private clouds and AWS and/or Azure/GCP.
- 10+ years of demonstrable building and operating infrastructure as code. Infra automation, comfortable with many flavors of Linux.
- 15+ years of experience in building high‑performance, highly‑available and scalable distributed systems in the cloud.
- 15+ years of experience in building and managing high‑performance, highly‑available and scalable hybrid cloud environments.
- Excellent cross‑group collaboration, outstanding verbal and written communication.
- Expert‑level knowledge of containerization and orchestration (Docker, Kubernetes).
- Strong background in Dev Ops and MLOps principles and tooling.
- Proficiency in at least one modern programming language (e.g., Python, Go).
- Exceptional strategic planning, organizational, and written/verbal communication skills.
- Prior experience managing infrastructure for training and inference of large language models (LLMs) or foundation models.
- Experience in a regulated industry with strict compliance requirements.
- AI private cloud - building and operating.
Our compensation reflects the cost of labor across several US geographic markets. Base pay ranges from $184,000/year in our lowest geographic market to $376,000/year in our highest geographic market. Pay is based on 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…
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