About the role
Software Engineer II - Automation Tester
Chicago, IL, United States
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Job Information
Job Identification
210781755
Job Category
Software Engineering
Business Unit
Commercial & Investment Bank
Posting Date
09/22/2026, 11:55 AM
Locations
131 S Dearborn St, Chicago, IL, 60603, US
Job Schedule
Full time
Job Shift
Day
Base Pay/Salary
Chicago,IL $99,750.00-$125,000.00
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).
Minimum requirements
- Formal training/certification in software engineering with 2+ years experience; US Citizenship required
- Hands-on QA automation/SDET experience; fluent in Python, TypeScript/JavaScript, or Java; UI and backend/API automation skills
- Proficient with testing practices, SQL, enterprise AI-assisted development tools, and agile methodologies (CI/CD, resiliency, security)
This listing was parsed by AI and may not be complete. Check the official posting on JPMorganChase's site for the most accurate information.