About this opportunity
JPMorgan Chase & Co. lists this Lead Software Engineer - Java & Python opportunity in jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
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 Asset & Wealth Management Marketing 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.
Jobresponsibilities:
Executescreativesoftwaresolutions,design,development,andtechnicaltroubleshootingwithabilitytothinkbeyondroutineorconventionalapproachestobuildsolutionsorbreakdowntechnicalproblems.
Lead a team of high-potential software engineers, delivering high quality software that achieves functional objectives.
Developssecurehigh-qualityproductioncode,andreviewsanddebugscodewrittenbyothers.
Identifiesopportunitiestoeliminateorautomateremediationofrecurringissuestoimproveoveralloperationalstabilityofsoftwareapplicationsandsystems.
Leadsevaluationsessionswithbusinessstakeholders,andinternalteamstodriveoutcomes.
Orientedprobingofarchitecturaldesigns,technicalcredentials,andapplicabilityforusewithinexistingsystemsandinformationarchitecture.
LeadscommunitiesofpracticeacrossSoftwareEngineeringtodriveawarenessanduseofnewandleading-edgetechnologies.
Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement.
Implement data governance and best practices to ensure data quality and compliance with organizational standards.
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.
Requiredqualifications,capabilities,andskills:
Formal training or certification on software engineering concepts and 5+ years of applied experience.
Proficientin developmentskillJava21 and Python buildinginto the public and private cloud in CI/CD strategies.
Hands onpracticalexperiencedeliveringsystemdesign,applicationdevelopment,testing,andoperationalstability.
Proficiencyinautomationandcontinuousdeliverymethods.
Experience in Spring Boot, Kafka, Kubernetes, Splunk, Dynatrace.
Demonstratedproficiencyinsoftwareapplicationsandtechnicalprocesseswithinatechnicaldiscipline(e.g.,cloud,artificialintelligence,machinelearning,mobile,etc.).
Practicalcloudnativeexperience.
Exposure to building AI/ML driven applications to drive business goals.
Track record of Continuous learning mindset.
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
Preferredqualifications,capabilities,andskills:
Experience with AWS public cloud.
Proficiency in Agile and SRE culture.
Working knowledge of one or more NoSQL database technologies, preferably Apache Cassandra.
Working knowledge of one or more Messaging technologies, preferably Apache Kafka.
Develop RESTful APIs and ensure smooth integration across internal and external services.
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Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.