Senior Quality Assurance Engineer (AWS Lex and Google Dialogflow) at Miratech

Yakima, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quality Assurance, AWS Lex, Google Dialogflow, Conversation Design, NLU Behavior, Bot Architecture, API Testing, Agile Testing, Defect Management, Test Documentation, Automation Frameworks, IVR Testing, Performance Testing, Load Testing, Scripting, Collaboration Tools

Industry

IT Services and IT Consulting

Description

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Quality Assurance Engineer with experience in testing conversational AI platforms such as AWS Lex and Google Dialogflow (CX/ES). The candidate will be responsible for functional, regression, and end-to-end testing of steering and skill bots, ensuring that virtual agent solutions deliver accurate, consistent, and high-quality customer experiences. The ideal candidate should be able to understand conversation design, NLU behavior, and bot architecture, and collaborate effectively with developers, solution architects, and business teams to validate and optimize bot performance. Responsibilities: Design and execute test plans, test cases, and scripts for AWS Lex and Google Dialogflow bots (steering and skill bots). Perform functional, regression, and integration testing across multiple bot use cases and channels (voice, chat, web). 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 to ensure seamless user journeys. 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. Qualifications 6+ 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. Nice to Have: 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. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The candidate will be responsible for functional, regression, and end-to-end testing of steering and skill bots, ensuring that virtual agent solutions deliver accurate, consistent, and high-quality customer experiences. They will design and execute test plans, validate conversation flows, and collaborate with development teams to optimize bot performance.