Lead Software Engineer - AIML/Python/AWS

JPMorgan Chase
Jersey City, NJ, United States / Wilmington, DE, United States / McLean, VA, United States2026-04-08

About the job

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. Join our AIML Data Platforms team as a Platform Engineer and build the cloud-native backbone for AI at scale. You’ll design and ship production-grade services in Python on AWS, enabling high-quality data and ML workflows that are secure, reliable, and fast from ingestion to model serving.

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives decisions that influence the product design, application development, testing, and operational stability

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Adds to the team culture of diversity, opportunity, inclusion, and respect

Qualifications

Minimum

Formal training or certification on software engineering concepts and 5+ years applied experience

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced in one or more programming language(s) Python, Java, Golang

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Experience using Terraform

Ability to tackle design and functionality problems independently with little to no oversight

Practical cloud native experience AWS

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

AI agent building skills including using context engineering and rag

Preferred

Familiarity with Configuration Language (HCL) and the ability to manage infrastructure state using Terraform.