Quality Assurance Lead ensuring quality in Python - based, data - intensive systems at PNC. Focused on data pipelines, APIs, and driving QA process improvements.
About the role
- Graduate QA Engineer specializing in Automation ensuring the quality of software products for AI-Powered Security Operations Platform. Developing automated test scripts and collaborating with teams to deliver critical threat insights.
Responsibilities
- Develop and execute automated test scripts
- Troubleshoot issues
- Work closely with cross-functional teams
- Provide an excellent opportunity to sharpen coding skills while applying them to real-world QA challenges
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Proficient in programming languages such as Java, Python, JavaScript, or similar.
- Build/enhance the automation framework and help integrate with continuous integration tools.
- Design, develop, and maintain automated test scripts using various test automation tools (e.g. Cypress, Playwright, etc.).
- Collaborate with the QA team and developers to create detailed test cases, scenarios, and test plans for automated testing.
- Run automated test and analyze results to identify defects and provide detailed reports.
- Contribute to the continuous improvement of the test automation process by recommending and implementing best practices.
- Utilize observability tools such as Splunk, New Relic, or similar tools to track application performance during test executions, analyze logs to detect issues, and configure real-time monitoring and alert systems.
- Work closely with developers, product managers, and other stakeholders to understand requirements and ensure high-quality products are delivered.
- Maintain clear documentation on test strategies, automation scripts, and testing processes.
- This position is not eligible for employment visa sponsorship.
Benefits
- This position is eligible for benefits
- May be eligible for equity
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