Senior ML Platform Engineer | Scale ModelOps & Governance

Aumni; Palo Alto (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to join the Corporate AI and ML Data Platforms team in Palo Alto. You will build platform services that support the end-to-end ML lifecycle, including model operations, data development, and governance tooling, collaborating with cross-functional teams to deliver secure, scalable solutions.

Responsibilities include designing data pipelines and governance workflows, implementing LLM-powered features, and ensuring high reliability and security.

Qualifications

• 3+ years of applied software engineering experience.

Responsibilities

• Build and enhance platform services for model registries and governance workflows.
• Design data preparation, annotation workflows, lineage, and audit trails.
• Develop cloud-native services and scalable APIs.
• Implement LLM-powered features with controls and evaluation.
• Produce architecture/design artifacts ensuring performance, resiliency, security.
• Use AI-assisted tools with code review and secure coding.
• Collaborate with product/engineering to prioritize roadmap and improve usability.
• Analyze metrics and user feedback to improve reliability and adoption.
• Identify issues and improve code quality, observability, maintenance.

Skills

Software engineering basics

Backend services

LLM expertise

REST APIs

Cloud platforms

Docker & Kubernetes

Databases

CI/CD

AI-assisted tools

Go / Terraform

Education

Software engineering training/certification

Tools

Python

Java

JavaScript/React/Node.js

Docker

Kubernetes

PostgreSQL

MongoDB

Elasticsearch

Redis

PyTorch

TensorFlow

Go

Terraform

Job description

JPMorganChase is seeking a Software Engineer III to join the Corporate AI and ML Data Platforms team in Palo Alto. You will build platform services that support the end-to-end ML lifecycle, including model operations, data development, and governance tooling, collaborating with cross-functional teams to deliver secure, scalable solutions.

Responsibilities include designing data pipelines and governance workflows, implementing LLM-powered features, and ensuring high reliability and security.