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

JPMorganChase

Chicago (IL)

On-site

USD 152,000 - 260,000

Full time

5 days ago

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Job summary

JPMorgan Chase in Chicago, IL is seeking a Senior Lead Software Engineer to advance payments technology with AI-assisted practices. You will lead two scrum teams, write production-grade Java/Spring Boot code, and shape secure, scalable solutions.

The role emphasizes hands-on leadership, architecture evaluation with vendors, and fostering communities of practice while ensuring high reliability and rapid delivery across critical platforms.

Qualifications

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, AI/ML, mobile).
Hands-on experience with high throughput, low latency distributed systems.
Proven record of end-user support and problem-solving abilities.
Experience leading use of enterprise AI-assisted development tools with team alignment on AI outputs.

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine 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 with measurable validation standards.
Applies knowledge of SDLC tools to improve 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 automate remediation of recurring issues to improve stability.
Leads evaluation sessions with external vendors/startups/internal teams to test designs and applicability.
Leads communities of practice across Software Engineering to drive awareness of new technologies.

Skills

Java

Spring Boot

CI/CD

Automation

SDLC

Agile

AI-assisted development

High throughput systems

Security

Technical leadership

Job description

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

Chicago, IL, United States and 1 more

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

Job Description

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