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Lead Software Engineer - Full Stack - Java, React, AWS

  • Job type Posted on: Jul 20, 2026
  • Experience level Chase
  • Employment type Chicago, Illinois
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Lead Software Engineer - Full Stack - Java, React, AWS

Job Type :

Full-time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Lead Software Engineer 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 & Investment Bank - Payments 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 break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. 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 opportunity, inclusion, and respect Proactively problem solves with eagerness and curiosity to learn new technologies. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls. Advanced hands on experience with JavaScript, ReactJS , or similar scripting language Hands-on programming/application development experience Java, Spring Boot, REST/API Proficiency in: SQL/Hibernate , Messaging ( Kafka ), application performance testing and tuning Ability to convert wireframes and Figma designs into clean, maintainable code Hands on knowledge of AWS offerings (ECS, S3, RDS, Lambda ,Terraform etc) Good knowledge of Docker, Kubernetes Ability to troubleshoot networking technologies and resolve common issues Strong communication skills and ability to work collaboratively in large teams. Hands on experience identifying and implement innovative solutions to meet business needs Preferred qualifications, capabilities, and skills Experience applying Large Language Models (LLMs) to real-world products Financial Services Industry or Payments experience

Jobcon Logo Position Details

Posted:

Jul 20, 2026

Reference Number:

14660_5A2006CB8D0F10EC992F55BCABF8D013

Employment:

Full-time

Salary:

Not Available

City:

Chicago

Job Origin:

APPCAST_CPC

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Lead Software Engineer 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 & Investment Bank - Payments 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 break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. 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 opportunity, inclusion, and respect Proactively problem solves with eagerness and curiosity to learn new technologies. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls. Advanced hands on experience with JavaScript, ReactJS , or similar scripting language Hands-on programming/application development experience Java, Spring Boot, REST/API Proficiency in: SQL/Hibernate , Messaging ( Kafka ), application performance testing and tuning Ability to convert wireframes and Figma designs into clean, maintainable code Hands on knowledge of AWS offerings (ECS, S3, RDS, Lambda ,Terraform etc) Good knowledge of Docker, Kubernetes Ability to troubleshoot networking technologies and resolve common issues Strong communication skills and ability to work collaboratively in large teams. Hands on experience identifying and implement innovative solutions to meet business needs Preferred qualifications, capabilities, and skills Experience applying Large Language Models (LLMs) to real-world products Financial Services Industry or Payments experience

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