Senior AI Platform Engineer - Cloud-Native AWS & ML APIs

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 240,000; Full time

Job summary

JPMorganChase invites a Lead Software Engineer to join the Machine Learning Center of Excellence and help design trusted, scalable AI platforms at global scale. You will work in an agile environment within Corporate AI and ML Data Platforms to deliver high-impact engineering solutions.

The role emphasizes production-grade Python services, cloud-native architectures on AWS, and collaboration across product managers, platform teams, and SREs to achieve secure, reliable deployments.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Advanced proficiency in Python, OO design, and modular architecture.
• Experience building large-scale cloud-native services in AWS.
• Hands-on with EKS, ECS, MSK (Kafka), SQS, and S3.
• Strong IaC experience with Terraform and/or CloudFormation.
• Experience with observability platforms (Datadog, Dynatrace, Splunk).
• Strong API design, microservices, scalable patterns.
• Experience with CI/CD pipelines and secure-by-design practices.
• Experience with AI-assisted software development tools.
• Understanding of responsible AI, security, resiliency, and compliance; mentoring engineers.

Responsibilities

• Design, develop, and maintain production-grade Python services and APIs powering ML platforms.
• Architect and implement high-throughput, low-latency distributed systems in AWS.
• Build scalable cloud-native apps using AWS technologies (EKS, ECS, MSK, SQS, S3).
• Develop reusable service frameworks and shared libraries across teams.
• Implement infrastructure-as-code with Terraform and CloudFormation.
• Create monitoring and observability using Datadog, Dynatrace, and Splunk.
• Deploy and support applications in production with SLAs.
• Apply secure-by-design practices and automated testing including blue/green and canary deployments.
• Review code and mentor engineers on best practices.
• Collaborate with product managers and platform SREs to deliver scalable solutions.
• Drive adoption of enterprise AI-assisted engineering practices.

Skills

Python

API design

Distributed systems

AWS

Terraform

CloudFormation

CI/CD

Observability

Secure coding

AI tools

Education

Formal software engineering training

Tools

EKS

ECS

MSK

SQS

S3

Datadog

Dynatrace

Splunk

Terraform

CloudFormation

Job description

JPMorganChase invites a Lead Software Engineer to join the Machine Learning Center of Excellence and help design trusted, scalable AI platforms at global scale. You will work in an agile environment within Corporate AI and ML Data Platforms to deliver high-impact engineering solutions.

The role emphasizes production-grade Python services, cloud-native architectures on AWS, and collaboration across product managers, platform teams, and SREs to achieve secure, reliable deployments.