Senior Lead AI/ML Training Infrastructure Engineer

JPMorganChase; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Seattle is seeking a Senior Lead Software Engineer to design, build, and operate secure, scalable infrastructure platforms powering enterprise AI/ML workloads. You will partner with AI/ML teams, platform engineers, product owners, and infrastructure stakeholders to translate GPU, storage, and networking needs into production-ready platforms for multi-GPU and multi-node training.

You will lead architecture decisions, advance automation and developer productivity, and drive

Qualifications

• 5+ years in software engineering with infra for ML training/inference.
• Strong Kubernetes and containerization experience in production.
• Proficient in at least one modern language (Python/Go/Java/C#).
• Ability to design secure, scalable cloud platforms and CI/CD pipelines.

Responsibilities

• Design, develop, test, and deliver secure, production-grade code.
• Architect and operate scalable cloud infra for multi-GPU AI/ML workloads.
• Lead cross-team collaboration with AI/ML, data science, and platform groups.
• Drive CI/CD, IaC, automation, and operational excellence.
• Provide technical leadership and governance for engineering teams.

Skills

Kubernetes

Programming languages

Cloud infrastructure

AI/ML platforms

Security and resiliency

Education

Formal software engineering training

Tools

Docker

NVIDIA DCGM

MLflow

CUDA

Job description

JPMorganChase in Seattle is seeking a Senior Lead Software Engineer to design, build, and operate secure, scalable infrastructure platforms powering enterprise AI/ML workloads. You will partner with AI/ML teams, platform engineers, product owners, and infrastructure stakeholders to translate GPU, storage, and networking needs into production-ready platforms for multi-GPU and multi-node training.

You will lead architecture decisions, advance automation and developer productivity, and drive