Lead Software Engineer - Java

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago seeks a Lead Software Engineer to drive trusted, scalable technology products within the Commercial & Investment Bank Marketing Platform team. You will be a core technical contributor delivering secure production code while guiding architecture across business functions.

This role emphasizes agile practices, AI-assisted engineering, collaboration with product and operations, and a culture of inclusion and excellence in software delivery.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Advanced in one or more programming languages such as Java, C#, and .Net.

Responsibilities

• Executes creative software solutions, with ability to think beyond routine approaches.
• Develops secure high-quality production code and reviews code written by others.
• Drives automation and operational stability of software applications and systems.
• Leads evaluation sessions with vendors and internal teams on architectural designs.

Skills

Java

C#

.NET

AWS

CI/CD

Agile

Security

AI-assisted tooling

Tools

AI-assisted development tools

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 JPMorganChase within the Commercial & Investment Bank - Marketing Platform team, 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
• 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.
• Partners with senior business, product, and technology stakeholders to translate strategic objectives into executable technology roadmaps and delivery plans.

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
• Advanced in one or more programming languages, such as Java, C# and .Net
• 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 in designing and implementing enterprise wide automation and workflows
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• 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.)
• Practical cloud native experience, such as AWS or Azure

Preferred qualifications, capabilities, and skills

• Experience supporting Marketing Technology, customer engagement, lead management, campaign management, event technology, or CRM platforms.
• Demonstrated ability to lead complex cross-functional initiatives involving product management, operations, engineering, and external vendors.
• Experience evaluating, integrating, and governing enterprise SaaS platforms within a regulated environment.
• Strong understanding of data, analytics, and AI-driven solutions supporting marketing and client engagement use cases.
• Demonstrated success leading globally distributed technology teams and driving execution across organizational boundaries