Senior Lead Software Engineer - Java, Prime Financial Services Technology

Senior Lead Software Engineer - Java, Prime Financial Services Technology

Chicago, IL, United States

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Job Information

Job Identification

210798008

Job Category

Software Engineering

Business Unit

Commercial & Investment Bank

Posting Date

10/07/2026, 08:30 AM

Locations

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

Job Schedule

Full time

Base Pay/Salary

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

Job Description

As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Technology in Cash Prime 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

Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Drive the delivery of business value via change programs, projects within the technology group

Create automated unit tests using a Test Driven Development approach

Develop a strong understanding of key functions of clearing and settlements within Cash Prime business

Partner with supporting tech leads to develop realistic and achievable project estimates.

Analyze and build within Control, Stability, Resiliency, Capacity & Performance areas.

Perform testing: Unit, SIT & UAT planning and management.

Doing robust delivery of code into the production environment with zero tolerance for post implementation issues

Take part in decisions affecting long range organizational goals & strategic planning. Proactively look to develop, implement and further development best practices and contribute to quality improvement, code reviews, code and architecture standards, code reuse etc.

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

Required qualifications, capabilities, and skills

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

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

Strong core Java experience with clear understanding of advanced concepts in collection framework, garbage collection, multi-threading etc.

Hands on experience in Java\J2EE, Spring Boot, Database knowledge, Kafka, React JS, CI\CD, designing features, AWS cloud experience

Strong problem solving, analytical and communication skills to take on difficult and complex large scale problems and provide end to end solutions

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

Solid understanding of agile methodologies such as CI/CD, DevOps, Applicant Resiliency, and Security, Kubernetes

Ability to build and maintain strong relationships with stakeholders in business, operations, operate etc.

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

Designing & developing micro-front end based micro-services.

Expert in Kubernetes platform

Expert in DevOps methodology

• Formal degree/certification in software engineering and 5+ years experience with Java, J2EE, Spring Boot, AWS, Kafka, React JS, CI/CD
• Strong skills in system design, development, testing, operational stability, and agile methodologies including DevOps and Kubernetes
• Experience leading AI-assisted software development tools usage and ensuring secure, resilient, compliant engineering practices