Senior Lead Software Engineer, AWS, Lead AI/ML Platform Engineer

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
31 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $208k
$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$223,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, AWS, Lead AI/ML Platform Engineer

As a Sr Lead Software Engineer - AWS - Lead AI/ML Platform Engineer, you will join the Firmwide AI/ML Deployment Platform team to architect and own the infrastructure required for large-scale model deployment. You will be responsible for building control planes, APIs for retraining and autoscaling, monitoring systems, and multi-region deployment infrastructure. Your role involves making independent architectural decisions, engaging directly with US-based clients for strategic solutioning, and providing technical guidance to teams and vendors. The work focuses on solving complex scaling and reliability challenges within the AI/ML space. You will utilize a technical stack including AWS (Sagemaker, VPCs, DNS), Golang or Python, Terraform, HCL, and Kubernetes/EKS. Additionally, you will drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed across the software development lifecycle.

What you'll do

  • Drive the architectural vision for control plane integration, multi-region deployment, and disaster recovery.
  • Design and implement APIs for retraining, scheduling, endpoint deployment, and autoscaling.
  • Build infrastructure to ensure seamless integration between the control plane and client accounts.
  • Engage directly with US-based clients to gather requirements and provide strategic solutions.
  • Make independent architectural decisions and manage technical tradeoffs for production systems.
  • Provide technical guidance and direction to business teams, contractors, and vendors.
  • Drive adoption of AI-assisted engineering practices to improve code quality and delivery speed.
  • Implement infrastructure automation using Terraform, Kubernetes, and AWS SageMaker for model deployment.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Experience as a platform engineer leading large-scale infrastructure delivery.
  • Deep expertise in AWS networking, scalability, multi-account architectures, and security.
  • Strong hands-on proficiency in Golang or Python.
  • Advanced Terraform and HCL skills including module design and state management.
  • Production experience with Kubernetes and EKS at scale.
  • Hands-on experience with AWS SageMaker for model deployments and inference.
  • Experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI practices.

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