Lead Software Engineer: AI-Driven Java & Cloud

JPMorganChase; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase in Plano, TX, seeks a Lead Software Engineer to drive design, development, and delivery of trusted, scalable technology products in Consumer & Community Banking. You will be a core technical contributor, shaping solutions across multiple domains and collaborating with stakeholders to meet business goals.

Lead the adoption of enterprise AI-assisted engineering practices, ensure secure coding, performance, and reliability, and mentor teams while aligning with architectural standards

Qualifications

• 5+ years of software engineering experience.
• Strong experience with AI-assisted development tools and code reviews.
• Knowledge of secure coding practices and incident handling.
• Experience with distributed systems and cloud platforms.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting across multiple areas.
• Develops secure high-quality production code, and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and reliability.
• Applies SDLC toolchain knowledge and automation to improve value of development work.
• Identifies opportunities to automate remediation and improve operational stability.
• Leads evaluation sessions with vendors and internal teams on architecture and feasibility.

Skills

Java

Python

C#

LLMs

AI-assisted development

Secure coding

Distributed systems

Microservices

REST APIs

Cloud platforms

AWS

GCP

Azure

CI/CD

Test automation

Code review

Tools

Docker

Kubernetes

Jenkins

Postman

JUnit

Eclipse

IntelliJ

Job description

JPMorganChase in Plano, TX, seeks a Lead Software Engineer to drive design, development, and delivery of trusted, scalable technology products in Consumer & Community Banking. You will be a core technical contributor, shaping solutions across multiple domains and collaborating with stakeholders to meet business goals.

Lead the adoption of enterprise AI-assisted engineering practices, ensure secure coding, performance, and reliability, and mentor teams while aligning with architectural standards