Software Engineer II - Automation Tester

JPMorgan Chase; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase in Chicago is seeking a Software Engineer II to join an agile team responsible for designing and delivering scalable technology products within the Commercial & Investment Bank. You will contribute to secure production code, build architectures, and drive improvements with data-driven insights.

The role emphasizes hands-on development, automation, and collaboration across disciplines to deliver trusted market-leading technology solutions.

Qualifications

• 2+ years of hands-on software engineering experience with QA automation.
• US Citizenship is required.
• Proficient in Python, TypeScript/JavaScript, or Java for testing and tooling.
• Experience with UI and backend/API automation and SQL.

Responsibilities

• Design, develop, and troubleshoot software solutions within an agile team.
• Leverage enterprise AI-assisted coding tools while ensuring code quality and security.
• Create secure production code and maintain architectures.
• Develop data visualizations and reports from large data sets for continuous improvement of software applications.
• Contribute to engineering communities of practice and foster inclusive team culture.

Skills

Python

TypeScript/JavaScript

Java

QA automation

UI automation

SQL

Education

Software engineering education

Tools

Playwright

Selenium

AWS

CI/CD

Job description

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

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank, 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 break down technical problems
• 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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Must be a US Citizen
• Hands-on experience in QA automation / SDET / test engineering.
• Fluent programming skills in at least one of: Python, TypeScript/JavaScript, or Java (able to design/maintain frameworks and debug effectively).
• Hands-on experience with UI automation and backend/API automation (tooling is flexible; engineering quality and maintainability are essential).
• Knowledge of testing practices (functional, regression, negative testing, test design) and strong QA fundamentals.
• Working knowledge of databases and SQL for test data validation and verification.
• 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.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Strong experience with Playwright (preferred) and/or Selenium.
• Performance testing exposure (e.g., JMeter or similar).
• Cloud experience (e.g., AWS) and scaling test execution (parallelization, containers).
• Track record of improving pipeline reliability (flake reduction, better test data strategy, observability/metrics).