Lead Software Engineer- Java Full Stack, AWS, Kafka

JPMorgan Chase & Co.; Plano (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, is seeking a Lead Software Engineer within the Consumer & Community Banking team.

You will be a core technical contributor in an agile environment, building trusted market-leading technology products in a secure, scalable way. As a hands-on leader, you guide technical decisions, drive AI-assisted development practices, and mentor teammates while delivering high-quality production code across the SDLC.

Qualifications

• 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.
• Experience with AI-assisted development tools and validating AI outputs.
• Understanding of responsible AI use including data sensitivity, secure inputs/outputs, resiliency and security.
• Hands-on experience across system design, development, testing, and production support.
• Experience with low-latency/high-throughput systems.

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 AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools and automation capabilities to improve value.
• Drives decisions that influence product design, application functionality, and technical operations.
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Contributes to the engineering community as an advocate of firmwide frameworks and practices.
• Influences peers and project decision-makers to consider leading-edge technologies.

Skills

Java

Spring Boot

OOP design patterns

AI-assisted development tools

Code review

Secure coding

Technical leadership

Low-latency systems

Job description

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 firm’s 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