Quality Assurance Engineer validating conversational AI, IVR, and voice customer experience solutions for global IT services company Miratech. Automating tests and ensuring reliable integrations across enterprise platforms.
About the role
- Quality Assurance Engineer validating conversational AI, IVR, and voice customer experiences at global IT services company Miratech. Creating automated tests and verifying integrations, workflows, and end-to-end quality.
Responsibilities
- Design, develop, and execute functional, regression, integration, and end-to-end test scenarios for conversational AI, voice, and customer interaction solutions
- Validate conversational flows, intent recognition, entities, utterances, response accuracy, escalation paths, and exception handling
- Create and maintain automated test suites to improve testing coverage, efficiency, and release quality
- Test voice and telephony interactions, including speech recognition, touch-tone inputs, call routing, transfers, and customer journey workflows
- Validate integrations between conversational platforms, backend systems, APIs, and third-party services
- Perform system-level and user journey testing across multiple channels
- Identify, document, track, and verify defects with developers, solution architects, business analysts, and product teams
- Develop test plans, test cases, execution reports, and quality metrics
- Participate in requirements reviews and provide quality-focused feedback early in the development lifecycle
- Ensure applications meet quality standards, functional requirements, performance expectations, and customer experience goals
- Contribute to test process improvements, automation strategies, and continuous quality initiatives
Requirements
- 6+ years of experience in Quality Assurance, with hands-on experience testing conversational AI, IVR, voice applications, or customer engagement platforms
- 3+ years of hands-on experience with Cyara Cruncher, Cyara Velocity, and Cyara Virtual Agent for test design, execution, automation, and reporting
- Experience testing conversational AI solutions using AWS Lex and/or Google Dialogflow CX/ES
- Knowledge of functional, regression, integration, system, and end-to-end testing methodologies
- Understanding of NLU, intents, entities, utterances, context management, fallback handling, and escalation workflows
- Hands-on experience validating IVR and voice interactions, including speech recognition, DTMF inputs, call routing, transfers, and call termination scenarios
- Experience testing APIs, backend integrations, data exchanges, and contact center workflows across enterprise applications
- Experience in test planning, test case design, defect management, execution reporting, and quality assurance best practices
- Analytical, troubleshooting, communication, stakeholder collaboration, and documentation skills
- Experience with performance, load, stress, and scalability testing of conversational AI and voice applications is nice to have
- Familiarity with SIP, telephony protocols, speech recognition technologies, DTMF, and call-routing concepts is nice to have
- Experience with test automation frameworks, API testing tools, and CI/CD-enabled QA practices is nice to have
- Exposure to Amazon Connect, Genesys Cloud, or other contact center platforms is nice to have
- Knowledge of conversational analytics, customer experience monitoring, and AI-driven customer engagement solutions is nice to have
Benefits
- Comprehensive compensation and benefits package
- Health insurance
- Language courses
- Relocation program
- Remote work flexibility
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Inclusive and supportive work environment
- Regular team-building company social events
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Not specified
Degree requirement
No Education Requirement
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