Software Engineer II - Automation Engineer

JPMorgan Chase & Co.•New York, NY

8h•$118,750 - $150,000

About The Position

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.

Requirements

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

Nice To Haves

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

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 using Selenium WebDriver (Java/Python/C#) and Microsoft 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.