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Lead Software Engineer -Java Full stack

JPMorganChase
Chicago, IL, USAHybridSoftware EngineeringMid-Level$137,750 - $185,000Posted: 6 days ago
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About the role

Lead Software Engineer -Java Full stack

Chicago, IL, United States

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Job Information

Job Identification

210788396

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

09/25/2026, 09:40 AM

Locations

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

Job Schedule

Full time

Base Pay/Salary

Chicago,IL $137,750.00-$185,000.00

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 NoSQL 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 systems

Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.

Strong problem-solving, analytical, and communication skills.

Ability to drive broader impact by sharing and contributing best practices.

AWS certification.

Minimum requirements

  • Formal training/certification in software engineering with 5+ years experience in system design, development, testing, and operational stability
  • Proficiency in Java, Python, microservices, front-end technologies (HTML, CSS, JavaScript, Typescript, React, Angular), and scalable SQL/NoSQL database design
  • Experience leading AI-assisted software development tools use, agile methodologies, SDLC, CI/CD, application resiliency, security, and cloud-native environments

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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