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Lead Software Engineer - Java

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    DevOps, Software Engineer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 133000 - 185000 USD Yearly USD 133000.00 185000.00 YEAR
Job Description & How to Apply Below

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 JPMorgan

Chase 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…

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