Senior Lead Software Engineer - Payments, AI, Java, Spring Boot

Senior Lead Software Engineer - Payments, AI, Java, Spring Boot

Chicago, IL, United States and 1 more

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Job Information

Job Identification

210796878

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

10/01/2026, 03:28 PM

Locations

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

545 Washington Blvd, Jersey City, NJ, 07310, US

Job Schedule

Full time

Job Shift

Day

Base Pay/Salary

Chicago,IL $152,000.00-$225,000.00; Jersey City,NJ $175,750.00-$260,000.00

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Payments Technology group, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products with a focus on security, stability, and scalability. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.

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

Manage the delivery for two scrum teams

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.

Hands-on coding tech lead minimum 50% of the time

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

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years applied experience

Advanced knowledge in Java on Spring Boot programming language

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

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle, software engineering principles, design patterns, and best practices

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

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems

Proven record of providing end-user support with excellent problem-solving abilities

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.

Preferred qualifications, capabilities, and skills

10+ years of experience in Java Development

Advanced knowledge in reactive programming technology

Knowledge of On-prem and/or public cloud

Knowledge in Cockroach or Cassandra / distributed database

• 10+ years software engineering experience with formal training and advanced Java Spring Boot expertise
• Hands-on system design, development, testing, automation, and CI/CD proficiency in agile environments
• Experience with high throughput, low latency distributed systems and leading AI-assisted software development tools