Lead Software Engineer — AI-Driven Cloud Architect

Testing Site - JPMC; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase in Chicago seeks a Lead Software Engineer within Corporate Technology to advance secure, scalable technology products. You will be a core technical contributor delivering production code in Java/J2EE, REST services, and Spring Boot.

You will drive architecture reviews, mentor teams, and engage with vendors. The role emphasizes performance, reliability, and automation using AWS, Kubernetes, Terraform, and modern DevOps practices.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on SDLC experience with production-grade software.
• Strong proficiency in Java/J2EE, REST, and SQL.

Responsibilities

• Executes creative software solutions, design, development, and debugging beyond routine approaches.
• Develops secure production code and reviews code written by others.
• Identifies opportunities to automate remediation and improve stability of applications.
• Leads evaluation sessions with vendors and teams on architecture and applicability of designs.
• Leads communities of practice to promote new technologies and best practices.
• Fosters team culture of diversity, inclusion, and respect.
• Evolves and applies AI in software development and automation.

Skills

Java/J2EE

REST Services

Spring Boot

SQL

PL/SQL

AWS

Kubernetes

Terraform

RESTful APIs

OO design

JUnit

Mockito

Kafka

React JS

JavaScript

TypeScript

DevOps

CI/CD

Tools

Terraform

ECS

S3

RDS

Lambda

CloudWatch

EventBridge

Step Functions

Kubernetes

AWS

JDBC

Hibernate/JPA

Job description

JPMorganChase in Chicago seeks a Lead Software Engineer within Corporate Technology to advance secure, scalable technology products. You will be a core technical contributor delivering production code in Java/J2EE, REST services, and Spring Boot.

You will drive architecture reviews, mentor teams, and engage with vendors. The role emphasizes performance, reliability, and automation using AWS, Kubernetes, Terraform, and modern DevOps practices.