The Opportunity:
TrueML Products is seeking a highly experienced and motivated Sr Quality Engineer II to join our dynamic team and serve as a technical lead in our Quality Engineering team. This role is critical in driving our overall quality strategy, establishing best practices, and ensuring the delivery of high-quality software products. This position will report to the Manager, Quality Engineering and be deeply involved in defining the test automation architecture. The ideal candidate is hands-on, with a process improvement mindset. We are looking for someone who is eager to solve complex testing challenges and leverages GenAI tooling as a second-nature.
Technical Leadership:
Define and champion QE best practices, standards, and processes within the team and across engineering.
Evaluate and recommend new testing tools, technologies, and methodologies to enhance quality and efficiency, with a specific focus on promising agentic AI-powered solutions.
Drive the quality strategy and execution for significant product areas or projects.
Design, develop, and implement a scalable and maintainable test automation framework.
Drive improvements in QE processes, methodologies, and tools.
Participate in architectural discussions, providing input on testability and quality considerations.
Collaborate with development and product teams to integrate quality practices throughout the SDLC (Shift-Left).
Lead code reviews and provide constructive feedback on test automation code.
Provide technical guidance and support to QE team members, fostering their growth and development.
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
7+ years of experience in software quality engineering, with a strong emphasis on test automation.
Experience in building, and maintaining robust test automation frameworks (e.g., using Playwright, Selenium, Cypress, Appium, REST Assured, Pytest, JUnit/TestNG). Playwright is preferred.
Strong programming/scripting skills in one or more languages (e.g., Python, Java, JavaScript, C#).
Strong understanding of software QA methodologies, tools, and processes.
Experience with API testing and automation tools (e.g., Postman, SoapUI).
Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
Experience with version control systems (e.g., Git).
Experience leveraging GenAI tooling to generate tests and enhance test coverage
Excellent problem-solving, analytical, and debugging skills.
Strong communication and interpersonal skills
Master's degree in a related field.
Experience with performance and load testing tools (e.g., JMeter, k6, LoadRunner).
Experience with security testing concepts and tools.
Experience testing cloud-based applications (AWS, Azure, GCP).
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with databases and SQL.
Sign in to browse authentic reviews, anonymous ratings and salary data before you apply.