Software Engineer II - Automation Tester

JPMorgan Chase & Co.; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer II in New York to join the Wealth Management - Self Directed Investing team. You will contribute to designing, developing, and securing scalable software within an agile environment, while leveraging AI-assisted tools to accelerate quality and delivery.

The role emphasizes automation, UI testing, and collaboration across SDLC disciplines. You will gain exposure to enterprise-grade technologies and work on services that ensure secure, stable,

Qualifications

• Formal training or certification in software engineering concepts
• Hands-on experience in system design, app development, testing, and operational stability
• Experience in full stack and automation engineering
• Experience building solutions using AI tools like GitHub Copilot, Amazon Q, Claude Code
• Proven ability to integrate visual regression and accessibility testing into UI automation frameworks
• Champion a shift-left testing culture with TDD practices
• Experience developing, debugging, and maintaining code in a large corporate environment
• Hands-on experience with enterprise AI-assisted software development tools
• Understanding of responsible AI use, data sensitivity, security
• Experience across the SDLC and agile methods like CI/CD, resiliency, security

Responsibilities

• Executes standard software solution design, development, and troubleshooting
• Writes secure, high-quality code using familiar languages with limited guidance
• Leverages enterprise AI coding assist tools to improve code quality, delivery speed, and productivity
• Designs, develops, codes, and troubleshoots with awareness of upstream/downstream systems
• Applies SDLC tools and AI-assisted development to improve automation value
• Applies troubleshooting to resolve basic complexity problems
• Gathers and analyzes large data sets to inform secure, stable app development
• Learns and applies processes for secure, stable code and systems
• Designs and develops scalable UI automation frameworks using Selenium WebDriver and Playwright
• Implements POM and data-driven testing frameworks to improve maintainability
• Integrates visual regression and accessibility testing into UI automation for quality

Skills

Formal training

System design experience

Full stack & automation

AI coding tools experience

Visual regression testing

Shift-left testing (TDD)

Corporate environment coding

AI-assisted development tools eval

Responsible AI usage

CI/CD, security

Education

Software engineering certification

Tools

Selenium WebDriver

Microsoft Playwright

GitHub Copilot

Amazon Q / Claude Code

JMeter / Gatling / k6

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Wealth Management - Self Directed Investing Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Design and develop scalable UI automation frameworks usingSelenium WebDriver(Java/Python/C#) andMicrosoft Playwright(TypeScript/JavaScript)
• Implement Page Object Model (POM) and data-driven/keyword-driven testing frameworks to improve test maintainability, reusability, and scalability.
• Integrate visual regression and accessibility testing into the UI automation suite to enhance UI quality and compliance.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in Full stack (Server side or UI) and Automation engineering
• Experience building solutions and writing code using AI tools like Github CoPilot, Amazon Q, Claude Code
• Proven ability to integrate visual regression testing and accessibility testing into UI automation frameworks/suites
• Demonstrated capability to champion a “shift-left” testing culture through early requirements validation and adoption of test-driven development (TDD) practices
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• 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 across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies and services - Springboot, Java, Rest APIs, ReactJS, JS, HTML5, CSS, Typescript and GIT
• Exposure to cloud technologies AWS , Terraform, Kubernetes (EKS)
• Experience in implementing self-healing test frameworks (Selenium or equivalent) and utilizing performance testing tools such as JMeter, Gatling and k6