Lead Software Engineer (ML & AI) — Payments Platform

JPMorganChase; Jersey City (NJ); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

A retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase in Jersey City invites a Lead Software Engineer to elevate our data analytics and regulatory compliance platforms within the Commercial & Investment Bank. You will design and deliver secure, scalable software across multiple domains, guiding an agile team and shaping architecture while solving complex problems.

You will apply Java and Python expertise, build robust production code, and leverage AI-assisted development tools to improve quality, speed, and security at scale,

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands‑on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with Java and Python programming languages and database querying languages (SQL).
• Experience with PostgreSQL
• Experience with AWS
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Skills

Java

Python

SQL

PostgreSQL

AWS

AI-assisted development

CI/CD

Agile methodologies

Security

Data analysis

Tools

Databricks

Job description

JPMorganChase in Jersey City invites a Lead Software Engineer to elevate our data analytics and regulatory compliance platforms within the Commercial & Investment Bank. You will design and deliver secure, scalable software across multiple domains, guiding an agile team and shaping architecture while solving complex problems.

You will apply Java and Python expertise, build robust production code, and leverage AI-assisted development tools to improve quality, speed, and security at scale,