Software Engineer III - Automation Test Engineer - AI/ML

As a Lead Software Engineer III at JPMorgan Chase within the AI/ML & Data Platforms team, you play a vital role in an agile team dedicated to enhancing, building, and delivering cutting-edge technology products with trust and reliability. Your responsibilities encompass executing innovative software solutions, designing and developing high-quality code, and troubleshooting technical issues with a forward-thinking mindset. Your expertise contributes to improving operational stability and automating remediation processes, ensuring the scalability and security of software applications. You will lead evaluation sessions with external vendors and internal teams, fostering discussions on architectural designs and technological applicability. As a core member of the Software Engineering community, you will champion the adoption of new technologies and drive a culture of diversity, equity, inclusion, and respect. **Job Responsibilities:** - Execute creative software solutions, design, development, and technical troubleshooting with a focus on innovative approaches. - Develop secure high-quality production code, review and debug code, and identify opportunities for automation to enhance operational stability. - Lead evaluation sessions with external vendors and internal teams to assess architectural designs and technical implementations. - Drive awareness and adoption of new technologies within the Software Engineering community. - Contribute to a culture of diversity, equity, inclusion, and respect. **Required Qualifications, Capabilities, and Skills:** - Formal training or certification in software engineering concepts with 3+ years of applied experience. - Hands-on experience in system design, application development, testing, and operational stability. - Proficiency in automated API and UI testing using technologies like RestAssured and Selenium. - Advanced knowledge of programming languages such as Java, Selenium, and Cucumber. - Experience with performance testing tools like JMeter and Blazemeter. - Proficiency in automation, continuous delivery, and the Software Development Life Cycle. - Understanding of agile methodologies, CI/CD, application resiliency, security, and technical processes in cloud, AI, and machine learning disciplines. **Preferred Qualifications, Capabilities, and Skills:** - Independently design, develop, test, and deliver Test Automation Solutions supporting UAT and UAT testing using Java, Selenium, and Cucumber. - Familiarity with REST and SOAP web services, API Testing/Automation. - Knowledge of databases like Trino, Iceberg, Snowflake, and Postgres. - Collaborative nature, ability to build strong relationships, strategize process improvements, and results-oriented mindset.,