AI/ML Training Infra Architect & Senior Lead

Fairygodboss

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

JPMorganChase in Seattle seeks a Senior Lead Software Engineer to design, build, and operate secure, scalable infrastructure platforms for enterprise AI/ML workloads. You will collaborate with AI/ML and platform teams to translate compute, storage, networking, and GPU requirements into production-ready platforms for multi-GPU, multi-node model training.

You will drive automation, SDLC best practices, and responsible AI usage, while leading engineers and vendor partners to deliver high-quality

Qualifications

  • Formal training or certification in software engineering with 5+ years of applied experience.
  • Experience building scalable and highly available infrastructure for ML workloads.
  • Solid system-level understanding of GPU infrastructure and interconnects.
  • Proficiency with Kubernetes, containers, and production troubleshooting.
  • Proficiency in at least one modern language (Python/Go/Java/C#).
  • Ability to solve complex design and performance challenges with minimal oversight.
  • Deep understanding of cloud architecture, microservices, compute, storage, and security.
  • Experience using AI-assisted development tools for coding, review, and testing.
  • Experience coaching senior engineers on compliant AI usage and controls.

Responsibilities

  • Design, develop, test, and deliver secure, production-grade code.
  • Architect and operate secure, scalable cloud infrastructure for multi-GPU AI/ML training.
  • Collaborate with AI/ML, data science, and platform teams to translate requirements into platform capabilities.
  • Drive architectural decisions for product reliability, security, and scalability.
  • Monitor and optimize cloud/GPU resources for performance and cost efficiency.
  • Build and maintain CI/CD pipelines and IaC for ML platforms.
  • Provide technical leadership to engineers, contractors, and partners.
  • Enforce secure coding, resiliency, and SDLC standards across teams.
  • Promote AI-assisted development practices with measurable validation.

Skills

Kubernetes
Python
Go
Java
C#
Infrastructure as code
CI/CD pipelines
AI/ML platform infra
Security in cloud infra
AI-assisted development tools

Education

BS in Computer Science or related field
Formal software engineering training

Tools

Docker
DCGM
NVIDIA drivers
CUDA
MLflow

Job description

JPMorganChase in Seattle seeks a Senior Lead Software Engineer to design, build, and operate secure, scalable infrastructure platforms for enterprise AI/ML workloads. You will collaborate with AI/ML and platform teams to translate compute, storage, networking, and GPU requirements into production-ready platforms for multi-GPU, multi-node model training.

You will drive automation, SDLC best practices, and responsible AI usage, while leading engineers and vendor partners to deliver high-quality

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