Lead Software Engineer- Java - JPA

JPMorgan Chase & Co.; Houston (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join Corporate Technology. You will be a core technical contributor driving secure, scalable, and trusted technology products, working across multiple business functions to support the firm’s objectives.

Role emphasizes AI-assisted development, secure coding, automated testing, and strong SDLC practices within an agile environment. Collaboration with vendors and internal teams is expected.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Extensive experience in design and development of scalable and performant microservices in java/spring/jpa.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Demonstrated experience leading effective use of AI-assisted software development tools with validated outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling, resiliency and security.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of the financial services industry and their IT systems.

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 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

Microservices

Java/Spring/JPA

Automation & CD

AI-assisted development tools

Responsible AI

SDLC

Agile & DevOps

Education

Software engineering certification

Job description

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 JPMorganChase within the Corporate Technology, youare 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.

Job 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

Required qualifications, capabilities, and skills

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


• Extensive experience in design and development of scalable and performant microservices in java/spring/jpa


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


• Proficiency in automation and continuous delivery methods



• 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



• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)


• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Applied AI experience in leveraging AI models along with AI Ops


• Full stack experience preferred