Senior Lead Software Engineer - Full Stack Java

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. within the Commercial & Investment Bank's Digital & Platform Services group is seeking a Senior Lead Software Engineer to contribute to agile teams delivering trusted technology products across secure, scalable platforms.

You will design, develop, and review production code, lead architectural evaluations, and advance AI-assisted engineering practices to improve code quality, speed, and reliability across critical business systems.

Qualifications

• 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 with validation standards.

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 automate remediation of recurring issues to improve stability.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of designs.
• Leads communities of practice across Software Engineering to drive awareness of new technologies.
• Adds to team culture of diversity, opportunity, inclusion, and respect.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and outcomes, with validation standards.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve value.

Skills

Java Spring Boot

Java Core Microservices

SQL

NoSQL

Kafka

REST APIs

CI/CD

Agile methodologies

Secure coding

Education

Formal training or certification in software engineering

Tools

Microservices architecture tooling

Software development toolchain

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