Drive quality at speed by building modern automated test frameworks and CI/CD-integrated coverage-enhanced with AI for self-healing tests, intelligent defect prediction, and automated test generation.
As a Test Automation Engineer within our engineering team, you will design, implement, and maintain automated testing frameworks, while also integrating AI models and building intelligent agents to optimize our development and testing processes.
Job Responsibilities
- Design, develop, and maintain automated test scripts using industry-standard frameworks (e.g., Selenium, Cypress, Playwright).
- Integrate automated tests into CI/CD pipelines and ensure robust test coverage across all releases.
- Leverage AI/ML tools to enhance test automation, including self-healing tests, intelligent defect prediction, and test case generation.
- Engineer, test, and optimize prompts for large language models (LLMs) to automate tasks and improve testing workflows.
- Build and integrate agentic AI solutions—autonomous agents capable of orchestrating testing, interacting with APIs, and performing complex tasks.
- Collaborate with software developers, data scientists, and AI engineers to ensure seamless integration of AI-driven solutions.
- Document AI prompt designs, and agent workflows for knowledge sharing and compliance.
- Analyze test results, troubleshoot issues, and provide actionable feedback to development teams.
- Stay current with advancements in AI, automation, and software testing best practices.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Proven experience in test automation using frameworks such as Selenium, Cypress, Playwright, or similar.
- Strong programming skills in Python, Java, JavaScript, or C#.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps).
- Proficient with Git or other version control systems.
- Demonstrated experience leveraging AI/ML in test automation (e.g., self-healing tests, AI-driven test case generation).
- Ability to design and optimize prompts for LLMs (e.g., OpenAI GPT, Google Gemini).
- Experience building or integrating agentic AI solutions (autonomous agents, workflow orchestration).
- Understanding of data preparation, labeling, and evaluation for AI-driven solutions.
- Strong analytical and problem-solving skills.
- Excellent communication and documentation abilities.
Preferred Qualifications
- Experience with cloud-based AI services (AWS SageMaker, Azure AI, Google Cloud AI).
- Relevant certifications in test automation, AI/ML, or cloud technologies.
- Experience working in Agile/Scrum environments.
- Familiarity with API testing tools (e.g., Postman, RestAssured).