Lead Software Engineer - Automation Testing , Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the AI/ML & Data Platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Design, develop, and maintain automated test scripts specifically for API and UI testing. This involves creating robust and reusable test scripts that ensure the functionality and performance of software applications.
• Conduct testing using Python frameworks such as Pytest . This includes writing and executing test cases, as well as leveraging the features of these frameworks to enhance test coverage and efficiency.
• Implement UI test automation using tools like Playwright or Selenium, and perform API testing with Python. This requires a deep understanding of these tools to effectively automate the testing process and validate the user interface and backend services.
• Collaborate closely with development and product teams to identify test requirements and strategies.
• Analyze test results to identify issues, bugs, or performance bottlenecks. Work on resolutions by collaborating with developers to fix defects and improve the quality of the software.
• Ensure that automated tests are seamlessly integrated into the Continuous Integration/Continuous Deployment (CI/CD) pipeline.
• Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands on programming skills in Python, demonstrating the ability to write clean, efficient, and maintainable code, with a deep understanding of Python's syntax, libraries, and frameworks, and experience in developing software applications using Python
• Experience with test automation tools and libraries for both API and UI testing, including the ability to design, develop, and maintain automated test scripts, and familiarity with tools such as Selenium, Postman, or similar frameworks that facilitate automated testing processes.
• Hands-on experience with Amazon Web Services (AWS), particularly with services such as S3 and Lambda, including the ability to deploy, manage, and optimize cloud-based applications and services, leveraging AWS's capabilities to enhance application performance and scalability.
• Strong communication skills and teamwork abilities to collaborate effectively with cross-functional teams to achieve common goals.

• Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes
• Familiar with cloud tools like Kubernetes, EKS, AWS Glue, ECS
• Familiar with building performance tests using Locust