Java Lead Software Engineer - Trading Platform

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer within the Asset & Wealth Management technology team.

You will be a core technical contributor, part of an agile team building trusted, secure, and scalable technology products aligned with the firm’s business objectives. Responsibilities include delivering production-grade code, guiding AI-assisted development practices, setting standards across Java, React, Kafka, Oracle, Aurora, Airflow, Spark, and steering deployments to

Qualifications

• Formal training or certification in software engineering.
• 5+ years of applied software development experience.
• Experience delivering system design, application development, testing, and operational stability.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting across complex problems.
• Develops secure, high‑quality production code and reviews others' code.
• Drives adoption of enterprise AI‑assisted engineering practices to improve quality, speed, and stability.
• Applies SDLC toolchain knowledge including AI-assisted development to improve automation and value.
• Sets engineering standards and reference architectures across Java, React, Kafka, Oracle, Aurora, Airflow, and Spark; guides cloud deployments.
• Identifies opportunities to automate remediation and improve operational stability.
• Leads evaluation sessions with vendors and internal teams on architecture and applicability.

Skills

Java/Spring

JavaScript/TypeScript

SQL

Kafka

AWS

AI-assisted development tools

CI/CD

Security practices

Agile methodologies

Cloud-native

Tools

Oracle

Aurora

Airflow

Spark

React

Job description

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management technology 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 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.
• Set engineering standards and reference architectures across Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Guide deployments to both public and private cloud environments.
• 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 5+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in technologies and frameworks—whether it’s Java/Spring, JavaScript/TypeScript, SQL, or Kafka. You’re hands‑on with cloud platforms (internal or AWS) and eager to experiment with modern development stacks.
• 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

• Nice to have any banking or buy‑side experience (portfolio management, OMS, trade lifecycle/middle office, risk and controls) that helps translate investment intent into compliant, scalable solutions.