Lead Software Engineer- Java Full Stack

JP Morgan Chase; Houston (TX); On-site; USD 140,000 - 220,000; Full time

Job summary

JPMorgan Chase in Houston, TX seeks a Lead Software Engineer for the Commercial and Investment Banking - Digital Identity Team. You will be a core technical contributor responsible for design, development, and delivery of trusted, secure identity technology products across functions.

You will lead AI-assisted engineering practices, drive secure coding standards, and collaborate with vendors and internal teams to deliver scalable, resilient software in an agile environment.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience in design, development, and operations.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting.
• Develops secure production code and reviews code written by others.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Applies SDLC toolchain knowledge to improve automation value.
• Identifies opportunities to automate remediation to improve stability.
• Leads evaluation sessions with vendors and internal teams on architectural designs.

Skills

RESTful API design

Programming languages

AI-assisted tooling

Responsible AI use

CI/CD / Agile

Cloud-native

Security awareness

Education

Formal training or certification in software engineering

Tools

AWS

Kubernetes

AI tooling platforms

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 Commercial and Investment Banking - Digital Identity Team, 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.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Knowledge of RESTful API design and development.
• Knowledge of AWS /Kubernetes
• Advanced in one or more programming language(s)
• 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
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Familiarity with IAM concepts and technologies (e.g., OAuth, SAML, OpenID Connect)
• Certification in IAM or related security fields.
• Experience working with ForgeRock/Ping Identity