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Senior Lead Software Engineer - Full Stack Java

JPMorganChase
Chicago, IL, USAHybridSoftware EngineeringSenior-Level$152,000 - $225,000Posted: 27 days ago
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About the role

Senior Lead Software Engineer - Full Stack Java

Chicago, IL, United States

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Job Information

Job Identification

210774063

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

08/12/2026, 04:17 PM

Locations

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

Job Schedule

Full time

Job Shift

Day

Base Pay/Salary

Chicago,IL $152,000.00-$225,000.00

Job Description

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Digital & Platform Services group, 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

Research business requirements and develop tools to solve the business' 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

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

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.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Advanced in coding Java Spring Boot and Java Core Microservices Architecture

Experienced in researching business requirements and developing a tool to solve the business' problems

Advanced knowledge of SQL and noSQL Databases

Advanced knowledge of Kafka or restAPI Messaging Services

Hands-on practical experience delivering system design, application development, testing, and operational stability

Proficient in all aspects of the Software Development Life Cycle

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

In-depth knowledge of the financial services industry and their IT systems

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

Preferred qualifications, capabilities, and skills

10+ years of experience

AWS knowledge

Experience in developing operation tooling / automation applications

Recent experience in banking or financial services industry

Minimum requirements

  • Formal training/certification in software engineering with 5+ years experience; advanced Java Spring Boot and Microservices skills
  • Advanced knowledge of SQL/noSQL databases, Kafka or REST API messaging, and full SDLC proficiency
  • In-depth financial services IT knowledge and experience leading AI-assisted software development tools and agile methodologies

This listing was parsed by AI and may not be complete. Check the official posting on JPMorganChase's site for the most accurate information.

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