As a QA/Automation Tester, you will help ensure today is safe and tomorrow is smarter. Our work depends on Quality Assurance Test Engineer joining our team to develop the AI program focused on automating requirements and test case preparation, using Visual Studio Code, Python, Copilot AI, and other tools provided by USPS.
MEANINGFUL WORK AND PERSONAL IMPACT
Key Responsibilities:
Design and develop test automation scripts using Selenium with Python, leveraging available AI models and LLMs to accelerate script creation, maintenance, and self-healing.
Build solutions using Visual Studio Code, Python, and related technologies to harness generative AI and LLMs (e.g., GitHub Copilot, Databricks).
Integrate the existing Python test automation framework with AI-based solutions to improve coverage, reliability, and efficiency.
Ensure all AI scripts and programs are fully executable on postal-issued laptops within approved security and environment constraints.
Train designated team members to execute, troubleshoot, and maintain the AI scripts and programs.
Develop comprehensive training materials and documentation to support knowledge transfer and long-term maintenance.
Developing Automated Testing Frameworks: Designing and implementing automated testing frameworks to streamline testing processes and improve efficiency.
Creating Test Scripts: Writing and maintaining automated test scripts for functional, regression, and performance testing of software applications.
Integration with Continuous Integration/Continuous Deployment (CI/CD): Integrating automated tests with CI/CD pipelines to enable continuous testing and deployment.
Executing Test Cases: Running automated test cases to validate software quality, identify defects, and ensure adherence to requirements.
Identifying Test Scenarios: Analyzing software requirements and user stories to identify test scenarios suitable for automation.
Maintaining Test Suites: Updating and enhancing automated test suites to accommodate changes in software functionality and requirements.
Collaborating with Development Team: Working closely with developers to understand software design and behavior, and address issues identified during testing.
Performance Testing: Conducting automated performance tests to assess application performance under various conditions and workloads.
Security Testing: Implementing automated security tests to identify vulnerabilities and ensure the security of software applications.
Test Reporting and Analysis: Generating test reports, analyzing test results, and communicating findings to stakeholders for decision-making.
Training and Knowledge Sharing: Providing training on test automation tools and techniques to team members and sharing best practices for test automation.
Maintaining Test Environments: Setting up and maintaining test environments, ensuring consistency and reliability for automated testing.
Participate in Agile/Scrum ceremonies with entire development team to solidify understanding of requirements.
WHAT YOU’LL NEED TO SUCCEED:
Education:
Bachelor's Degree; A degree from an accredited college or university in a relevant field is preferred (or equivalent experience).
Required Experience:
3+ years of relevant experience.
Minimum of 2-3 years of specialized AI development in technology or software development using Visual Studio code, Python, Selenium, Databricks, Copilot, API’s, etc.
Required Technical Skills:
Programming Skills: Proficiency in Java, Python, or JavaScript for test script development.
Design and develop test automation scripts using Selenium with Python, leveraging available AI models and LLMs to accelerate script creation, maintenance, and self-healing.
Build solutions using Visual Studio Code, Python, and related technologies to harness generative AI and LLMs (e.g., GitHub Copilot, Databricks).
Integrate the existing Python test automation framework with AI-based solutions to improve coverage, reliability, and efficiency.
Ensure all AI scripts and programs are fully executable on postal-issued laptops within approved security and environment constraints.
Train designated team members to execute, troubleshoot, and maintain the AI scripts and programs.
Develop comprehensive training materials and documentation to support knowledge transfer and long-term maintenance.
