Lead Software Engineer - Java & Python

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. invites a Lead Software Engineer to join the Asset & Wealth Management Marketing Team in Jersey City.

You will be a core technical contributor shaping secure, scalable software that supports the firm’s business objectives. You’ll lead a team of engineers, drive design and delivery of production code, integrate AI-assisted practices, and partner with stakeholders to deliver trusted, market-leading technology products.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Proficient in Java 21 and Python building into the public and private cloud in CI/CD strategies.
• Hands on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Experience in Spring Boot, Kafka, Kubernetes, Splunk, Dynatrace.
• Demonstrated proficiency in software applications and technical processes with a technical discipline (cloud, AI/ML, etc.).
• Practical cloud-native experience and exposure to building AI/ML driven applications.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with scalable approaches.
• Lead a team of high-potential software engineers, delivering high-quality software.
• Develop secure production code and review/debug code written by others.
• Identifies opportunities to automate remediation of recurring issues to improve stability.
• Lead evaluations with business stakeholders and internal teams to drive outcomes.
• Guide architectural design discussions and technology applicability within existing systems.
• Lead communities of practice to promote new technologies and best practices.
• Stay up-to-date with emerging technologies to drive innovation and continuous improvement.
• Implement data governance and best practices to ensure data quality and compliance.
• Drive adoption of AI-assisted engineering practices and promote reusable patterns.

Skills

Java 21

Python

CI/CD

Cloud

Automation

Spring Boot

Kafka

Kubernetes

AI/ML

Architectural design

Education

Formal training in software engineering

Tools

Splunk

Dynatrace

AWS

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.