Lead Software Engineer - Java / Post Trade Technology

JP Morgan Chase; Jersey City (NJ); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase in Jersey City is seeking a Lead Software Engineer to advance market-leading technology products with a secure, scalable approach. You will contribute technically across multiple areas, mentor teams, and drive AI-assisted development practices within an agile environment.

You will apply core Java expertise, modern web tech (Node/React), and cloud-native patterns to build reliable, high-performance solutions supporting the firm's objectives.

Qualifications

• Formal training or certification on software engineering concepts.
• 8+ years of applied software engineering experience.
• Expertise in core Java, data structures, algorithms, and design patterns.
• Experience delivering system design, development, testing, and operational stability.
• Experience with Kafka, MongoDB and Redis.
• Proficiency with Node.js and ReactJS frontend technologies.
• Experience using AI-assisted software development tools with awareness of validation and security.
• Strong understanding of Agile, CI/CD, and cloud-native environments.
• Knowledge of cloud technologies and Generative AI exposure.

Responsibilities

• Executes creative software solutions and technical troubleshooting.
• Delivers secure, high-quality production code and code reviews.
• Leads adoption of AI-assisted engineering practices to improve quality and speed.
• Utilizes SDLC tools including AI-assisted development and automation.
• Identifies opportunities to automate remediation for stability.
• Leads evaluation sessions with vendors and internal teams on architecture.

Skills

Core Java

Data structures

Algorithms

Design patterns

Infrastructure architecture

System design

Application development

Testing

Operational stability

Kafka

MongoDB

Redis

Node.js

ReactJS

AI-assisted tooling

Responsible AI

CI/CD

Agile methodologies

Cloud native

Front-end familiarity

Cloud technologies

Generative AI

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 and Investment bank, 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 breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Expertise in Core Java, data structures, algorithms, industry wide design patterns and infrastructure architecture disciplines
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrate experiencein messaging platforms (Apache Kafka or equivalent), No SQL DB's (like Mongo DB & Redis)
• Exposure to web technologies like Node/ReactJS and electron framework
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Exposure to Generative AI