Lead Java Engineer: AI-Driven Code & Architecture

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive development of trusted market-leading technology products in a secure, scalable way.

You will lead the design, coding, reviews, and deployment, leveraging AI-assisted tooling to accelerate quality and delivery while mentoring teams across multiple business functions. You will apply Core Java, J2EE, and Spring Boot expertise to build production-grade software, automate testing, and improve operational stability.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 10+ years of hands-on coding experience, primarily in Java and J2EE.
• Proficient in Core Java, J2EE, and Spring Boot with strong coding skills.
• Strong software engineer with hands-on experience using AI coding assistants/agents to design, implement, test, and debug production code.
• Experienced in defining test scenarios and automating unit and integration tests.
• Skilled in performance testing and code optimization.
• Knowledgeable in MQ, Kafka, and message parsers, Proficient with Oracle and Cassandra databases.
• Experienced in build and deployment processes using Bitbucket, Git, Jules and CLOUD.
• 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

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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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

Skills

Core Java

J2EE

Spring Boot

AI-assisted coding

Unit testing

Performance testing

Kafka

MQ

Oracle

Cassandra

Bitbucket

Git

Jules

Cloud

Tools

Bitbucket

Git

Jules

Cloud

Job description

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive development of trusted market-leading technology products in a secure, scalable way.

You will lead the design, coding, reviews, and deployment, leveraging AI-assisted tooling to accelerate quality and delivery while mentoring teams across multiple business functions. You will apply Core Java, J2EE, and Spring Boot expertise to build production-grade software, automate testing, and improve operational stability.