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Lead Software Engineer - Java, AI, and Automation

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: JPMorgan Chase & Co.
Full Time, Seasonal/Temporary position
Listed on 2026-09-09
Job specializations:
  • Software Development
    DevOps, Software Engineer, Software Testing, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 157000 - 215000 USD Yearly USD 157000.00 215000.00 YEAR
Job Description & How to Apply Below

Lead Software Engineer - Java, AI, and Automation

Jersey City, NJ, United States

  • Job Identification
  • Job Category Software Engineering
  • Business Unit Commercial & Investment Bank
  • Posting Date 08/18/2026, 06:31 PM
  • Locations 545 Washington Blvd, Jersey City, NJ, 07310, US
  • Job Schedule Full time
  • Job Shift Day
  • Base Pay/Salary Jersey City,NJ $-$
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 JPMorgan

Chase within the Commercial & Investment Bank - Payments 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
  • The role will involve quality and test advocacy and the individual will need to have hands on Quality Engineering and test automation experience.
  • Stay current with advancements in AI, test automation, and quality engineering, and proactively introduce innovative tools and practices to the team.
  • 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.
  • High level of flexibility and ability to react quickly to changing business needs in a fast-paced environment driven by market pressures.
  • The position will be accountable for large projects of high complexity, high risk and high visibility.
  • Integrate automated tests into CI/CD pipelines to enable rapid, reliable, and repeatable validation of new features and bug fixes.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 7+ years hands on Software Development Life Cycle experience
  • Advanced level experience with building and maintaining testing automation frameworks with strong problem solving skills
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s), such as Java
  • Proficiency in automation and continuous delivery methods
  • Hands-on building/maintaining automation frameworks at scale
  • Proficient in all aspects of the Software Development Life Cycle
  • 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;
  • 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.)
Preferred qualifications, capabilities, and skills
  • Hands on experience and knowledge of financial services industry and their technology infrastructure.
  • Hands on experience with Golang or RUST
  • Automated failure triage patterns: failure clustering, flaky test detection, rerun rules, quarantining workflows
  • Contract testing concepts and tools
  • Building a reliable canary testing framework
About Us

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial…

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