Full-Time Quality Assurance Engineer (AWS Lex, Google Dialogflow)

• Design and execute test plans, test cases, and scripts for AWS Lex and Google Dialogflow bots.
• Perform functional, regression, and integration testing across multiple bot use cases and channels.
• Validate conversation flows, intent mapping, slot filling, fulfillment logic, and API integrations.
• Collaborate with development teams to review requirements, conversation designs, and user stories.
• Test multi-bot orchestration setups between steering bots and skill bots.
• Verify voice interactions in platforms such as Amazon Connect or Google CCAI integrations.
• Track and report defects, performance issues, and test coverage using standard QA tools.
• Participate in UAT and assist in creating test summary reports and automation scripts where applicable.
• Ensure bots meet expected accuracy, response time, and quality benchmarks.

• 4+ years of hands-on experience with IVR testing tools such as CYARA Velocity, CYARA Virtual Agent, and CYARA Cruncher.
• 2+ years hands-on testing experience in AWS Lex (V1/V2) and Google Dialogflow CX/ES.
• Familiarity with conversation design concepts, intent recognition, and NLU model testing.
• Experience testing integrations involving AWS Lambda, API Gateway, or Google Cloud Functions.
• Knowledge of API testing tools (e.g., Postman, REST Assured) and automation frameworks (e.g., Selenium, PyTest).
• Solid understanding of bot architecture and bot orchestration workflows.
• Strong understanding of QA methodologies, defect management, and test documentation.
• Experience with Agile testing practices and collaboration tools like Jira and Confluence.
• Excellent communication, analytical thinking, and problem-solving skills.

• Exposure to automation testing for conversational AI using frameworks such as Botium, TestMyBot, or Voiceflow QA tools.
• Familiarity with Google CCAI, Amazon Connect, or Genesys Cloud integrations.
• Experience in performance and load testing for voice/chat bots.
• Knowledge of CI/CD pipelines, CloudWatch, or Dialogflow Analytics for monitoring bot behavior.
• Basic scripting knowledge in Python or JavaScript for test automation.

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