QA Engineer II

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology big data machine learning and AI to seamlessly bring together OEMs retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3000 people across North America Asia and Europe.

Job Summary

Tekion is seeking an accomplished Automation QA Engineer-II with experience in Java Selenium and REST Assured plus a foundation in data validation machine learning or data science. You will help extend Tekions automation capabilities by integrating AI using agentic approaches and leveraging MCP server frameworks to improve product quality.

Key Responsibilities

• Develop enhance and maintain automation frameworks and test suites in Java using Selenium for UI and REST Assured for API regression functional and integration automation.
• Design and automate complex tests for data validation end-to-end scenarios and backend verification using advanced SQL queries and AI-driven techniques.
• Apply AI and ML approaches such as predictive analytics for test selection anomaly detection and generative data to make automation more effective and efficient.
• Use AI Agents and MCP servers to orchestrate optimize and scale automation execution and validation pipelines.
• Design adaptive intelligent automation workflows using agentic methodologies in product delivery.
• Collaborate with cross-functional teams (developers QA and product management) to define test strategies acceptance criteria and standards for test automation.
• Mentor and support team members regarding best practices in Java Selenium REST Assured and AI-augmented automation frameworks.
• Continuously improve AI integration into test automation including self-healing test case prioritization and GPT-based solutions.
• Report triage and track defects using Agile tools ensuring timely resolution; participate in code and test strategy reviews.

Required Qualifications

• 39 years of hands-on experience in Automation QA using Java Selenium and REST Assured.
• Bachelors or Masters degree in Computer Science Engineering Data Science or a related discipline.
• Completed coursework or certification in Data Science or Machine Learning (Coursera edX Udacity etc.) or demonstrated experience applying AI/ML techniques to testing.
• Experience with data validation backend/API testing and strong SQL skills.
• Exposure to AI-enabled test automation (using AI Agents MCP servers or agentic approaches in testing pipelines).
• Solid understanding of SDLC and Agile methodologies.
• Strong analytical troubleshooting and communication skills.

Preferred Qualifications

• Experience with AI-driven or generative AI solutions for automation (such as LLM test generation test suite optimization or self-healing tests).
• Familiarity with agent-based architectures and distributed automation management.
• Exposure to cloud environments CI/CD and version control tools (Jenkins Git etc.).
• Experience in the automotive enterprise SaaS or comparable high-scale product domains.

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability victim of violence or having a family member who is a victim of violence the intersectionality of two or more protected categories or other applicable legally protected characteristics.

For more information on our privacy practices please refer to our Applicant Privacy Notice here.