Lead Software Engineer – Java/Back-End with AI

JPMorgan Chase & Co.•Houston, TX

15h

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
Expertise in Java fundamentals, object-oriented programming, multi-threading, messaging technologies, and computer networks
Experience building high-performance, latency-sensitive Java applications
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies
Experience with distributed systems, microservices, and event-driven architectures
Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services
Strong interpersonal and communication skills, with experience working in global teams
Commitment to continuous learning and improvement

Nice To Haves

Familiarity with modern front-end technologies such as React, Angular, or Vue.js
Exposure to cloud technologies including AWS, Azure, or GCP
Experience with Python and front-end development
Practical experience with FIX messaging protocol and QuickFIX/J
Familiarity with Hazelcast or other distributed computing platforms

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect