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Lead Software Engineer - Java Boot

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: JPMorgan Chase
Full Time, Seasonal/Temporary position
Listed on 2026-10-13
Job specializations:
  • Software Development
    Software Engineer, Java Developer, Full Stack Developer, DevOps
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 Spring Boot

Chicago, IL, United States

Job Information
  • Job Identification

  • Job Category Software Engineering

  • Business Unit Corporate Sector

  • Posting Date 10/06/2026, 06:28 PM

  • Locations 10 S Dearborn St, Chicago, IL, 60603, US

  • Job Schedule Full time

  • Job Shift Day

  • 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 Corporate Technology, 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

  • 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

  • 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.

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience

  • Experience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIs for enterprise-scale applications.

  • Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)

  • Strong experience in various SQL and No

    SQL data stores including Oracle, MongoDB

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • 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

  • Solid understanding of agile…

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