Senior Lead AI/ML Training Infra Engineer

JP Morgan Chase; Seattle (WA); On-site; USD 190,000 - 260,000; Full time

Benefits offered by this job

Health insurance

Competitive compensation

Retirement plan

On-site wellness centers

Job summary

JPMorganChase in Seattle, WA is seeking a Senior Lead Software Engineer to design and operate secure, scalable AI/ML training infrastructure across multi-GPU, multi-node environments. You will partner with AI/ML and platform teams to translate compute, storage, and networking requirements into production-ready platforms, driving automation, security, and operational excellence throughout the SDLC.

Responsibilities include building CI/CD pipelines, guiding engineering teams, and ensuring

Qualifications

• Formal training or certification in software engineering.
• Hands-on experience building scalable infrastructure for ML workloads.
• Strong GPU and distributed compute knowledge for training workloads.
• Programming in Python, Go, Java, or C#.
• Ability to solve complex design and performance challenges with minimal oversight.
• Experience leading AI-assisted development tools adoption.

Responsibilities

• Design, develop, test, and deliver production code for secure platforms.
• Architect and operate secure, scalable cloud infra for multi-GPU training.
• Collaborate with AI/ML teams to translate needs into platform capabilities.
• Drive design decisions for architecture, security, and resiliency.
• Lead engineering teams, review code, and ensure SDLC compliance.

Skills

Kubernetes

Docker

Python/Go/Java/C#

Cloud infrastructure

CI/CD pipelines

AI/ML platforms

Multi-GPU training

Distributed compute

Leadership

SDLC tooling

Tools

Kubernetes

Docker

NVIDIA DCGM

CUDA

Job description

JPMorganChase in Seattle, WA is seeking a Senior Lead Software Engineer to design and operate secure, scalable AI/ML training infrastructure across multi-GPU, multi-node environments. You will partner with AI/ML and platform teams to translate compute, storage, and networking requirements into production-ready platforms, driving automation, security, and operational excellence throughout the SDLC.

Responsibilities include building CI/CD pipelines, guiding engineering teams, and ensuring