Full-Stack Software Engineer III (Python, React, Playwright)

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase in Jersey City is seeking a seasoned Full-Stack Software Engineer III to design and deliver trusted, scalable solutions using Python, React and Playwright in an agile environment.

You will contribute to secure production code, leverage enterprise AI coding tools, and collaborate across teams to improve architecture, testing, and automation for payments technology. This role emphasizes resilience and performance within a large corporate setting.

Qualifications

• 3+ years of applied software engineering experience.
• Experience with Python, React.js and modern front-end tech.
• Familiarity with AI-assisted coding tools and secure coding practices.

Responsibilities

• Design, develop, test, and troubleshoot software solutions across multiple domains.
• Create secure, high-quality production code and maintain algorithms.
• Leverage AI coding assist tools while ensuring correctness and security.
• Produce architecture/design artifacts for complex applications and drive improvements.

Skills

Python

React.js

Playwright

Pytest

CI/CD

Agile methodologies

Secure coding

AI-assisted development

Education

Formal software engineering training/certification

Tools

GitHub Copilot

Claude Code

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Full-Stack Software Engineer III (Python, React, Playwright) at JPMorganChase within the Commercial and Investment Bank - Payments Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ 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 Python, React.JS programming languages and database querying languages
• Experience with testing framework including Playwright/Pytest
• Hands-on experience using enterprise-authorized AI-assisted software development tools (GitHub, Copilot, Claude Code) 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

Preferred qualifications, capabilities, and skills

• Experience working in a payment processing domain
• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiarity with large language models (LLMs) including ChatGPT, Google Bard, and related platforms.
• Exposure to frameworks and techniques such as LangChain, Retrieval-Augmented Generation (RAG), and fine-tuning of LLMs.