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

Yakima, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quality Assurance, AWS Lex, Google Dialogflow, Conversational AI, IVR Testing, API Testing, Automation Frameworks, Agile Methodologies, Defect Management, Conversation Design, NLU/NLP Concepts, Middleware Integrations, Leadership, Analytical Thinking, Problem Solving, Mentoring

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 seeking a highly experienced Senior Quality Assurance Lead to drive the quality strategy, validation framework, and end-to-end testing of conversational AI solutions built on AWS Lex and Google Dialogflow (CX/ES). The ideal candidate will oversee the testing lifecycle for steering bots, skill bots, and multi-bot orchestration while ensuring accuracy, reliability, and high-quality conversational experiences across voice and chat channels. This role requires strong technical depth in bot testing, the ability to define QA best practices, and proven experience collaborating with cross-functional teams including solution architects, developers, and business stakeholders. Responsibilities: Lead the planning, design, and execution of test strategies, test plans, and test cases for AWS Lex and Google Dialogflow bots. Oversee functional, regression, integration, and end-to-end testing across voice, chat, and web channels. Validate conversation flows, NLU accuracy, intent mapping, slot filling, journey logic, and middleware/API integrations. Review requirements, conversation designs, and user stories to ensure clarity, completeness, and testability. Manage testing for multi-bot orchestration setups between steering and skill bots to ensure seamless user experiences. Supervise and validate testing of voice interactions via platforms such as Amazon Connect, Google CCAI, or Genesys Cloud. Drive defect identification, root cause analysis, reporting, and quality metrics using industry-standard QA tools. Guide automation strategy and contribute to building automation scripts/frameworks where applicable. Lead UAT cycles, prepare quality summary reports, and ensure delivery of bots that meet accuracy, latency, and experience benchmarks. Mentor junior QA engineers and promote QA best practices, reusable patterns, and testing standards. Qualifications 8+ years of hands-on QA experience, including 3+ years leading QA efforts for conversational AI, IVR, or bot-based solutions. Strong expertise in IVR testing platforms such as CYARA Velocity, CYARA Virtual Agent, and CYARA Cruncher. 2+ years of hands-on testing experience with AWS Lex (V1/V2) and Google Dialogflow CX/ES. Good understanding of conversation design, NLU/NLP concepts, intent handling, and model testing. Experience validating integrations with AWS Lambda, API Gateway, Google Cloud Functions, or similar middleware components. Strong skills in API testing (Postman, REST Assured) and automation frameworks (Selenium, PyTest, or equivalent). Solid understanding of bot architecture, routing logic, and orchestration between multiple bots. Excellent knowledge of QA methodologies, defect management practices, and detailed test documentation. Experience working in Agile teams with tools like Jira and Confluence. Strong communication, analytical thinking, leadership, and problem-solving abilities. Nice to Have: Exposure to conversational AI automation frameworks such as Botium, TestMyBot, or Voiceflow QA tools. Familiarity with Google CCAI, Amazon Connect, or Genesys Cloud integrations. Experience performing load, performance, or stress testing for voice/chat bots. Understanding of CI/CD pipelines, CloudWatch, Dialogflow Analytics, or bot monitoring tools. Basic scripting knowledge in Python or JavaScript for automation support. 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

Lead the planning, design, and execution of test strategies and oversee functional, regression, integration, and end-to-end testing for conversational AI solutions. Validate conversation flows and manage testing for multi-bot orchestration setups to ensure seamless user experiences.