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**Lead Software Engineer - Java Full Stack, AWS, Kafka** - **Senior-level role** in Plano, TX, driving **full-stack development** within JPMorgan's Consumer & Community Banking. You'll **lead technical guidance**, deliver secure, high-quality production code, and **drive AI-assisted engineering practices**. - **Required Skills**: Minimum 5 years of experience in software engineering, strong OOP/design patterns, Java/Springboot, AI-assisted development tool experience, low-latency/high-throughput systems. - **Responsibilities**: Lead technical decisions, serve as an SME, contribute to firm-wide tools, and influence peers towards using leading-edge tech; **key focus** on improving code quality, delivery speed, and operational outcomes. - **Preferred Skills**: Exposure to agentic AI.

Compensation: Not specified
City: Plano
Country: United States

Full Job Description

Location: Plano, TX, United States

As a Lead Software Engineer at JPMorganChase within the

CONSUMER & COMMUNITY BANKING 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 firms business objectives.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
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.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Strong OOP/design patterns understanding and clean code practices
Strong coding skills in Java and Springboot with solid fundamentals
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
Proven, hands-on experience across system design, application development, testing, and production support
Experience with low-latency/high-throughput systems

Preferred qualifications, capabilities, and skills

Exposure to agentic AI

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Full Job Description

Location: Plano, TX, United States

As a Lead Software Engineer at JPMorganChase within the

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
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.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Strong OOP/design patterns understanding and clean code practices
Strong coding skills in Java and Springboot with solid fundamentals
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
Proven, hands-on experience across system design, application development, testing, and production support
Experience with low-latency/high-throughput systems

Preferred qualifications, capabilities, and skills

Exposure to agentic AI

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer- Java Full Stack, AWS, Kafka

Full Job Description

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