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Lead Software Engineer -Java Full stack

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 138000 - 185000 USD Yearly USD 138000.00 185000.00 YEAR
Job Description & How to Apply Below

Lead Software Engineer
-Java Full stack

Chicago, IL, United States

Job Information
  • Job Identification

  • Job Category Software Engineering

  • Business Unit Commercial & Investment Bank

  • Posting Date 09/25/2026, 02:40 PM

  • Locations 131 S Dearborn St, Chicago, IL, 60603, US

  • Job Schedule Full time

  • Base Pay/Salary Chicago,IL $-$

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 JPMorgan Chase within the Commercial and Investment Bank, 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

  • Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

  • 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

  • Promptly investigate and resolve issues, ensuring they do not resurface.

  • Continuously update technologies and patterns to keep systems current.

  • Design and build solutions that avoid single points of failure using scalable architectural patterns.

  • Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

  • 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

  • Proficiency in back-end technologies (Java and Python) with experience building microservices-based applications; proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).

  • 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

  • Hands-on experience designing and building scalable applications using SQL or No

    SQL databases.

  • Experience with agentic AI protocols (e.g., MCP, AG-UI) and frameworks such as Lang Chain, Lang Graph

  • Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.

  • Proficient in all aspects of the Software Development Life Cycle

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

  • Practical cloud native experience

Preferred qualifications, capabilities, and skills
  • In-depth knowledge of the financial services industry and their IT…

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