Position Overview:
We are looking for a Mid-Level Tester with strong knowledge of Amazon Connect to validate and ensure the quality of our cloud-based contact center solutions. The primary focus of this role is testing voice and chat channels, ensuring reliable customer and agent interactions across Amazon Connect workflows.
Amazon Connect Voice & Chat Testing
End-to-End Customer Journey Testing
- IVR navigation
- Queue routing
- Agent connection
- Chat interactions
- Routing Profiles
- Security Profiles
- HOOP
- Lex Bots
- QinConnect
- AI Agents
- Validate integration between Amazon Connect, Lambda functions,Frontend and backend systems.
- Ensure correct data exchange between contact flows and external systems.
- Support validation of integrations with AWS services commonly used with Amazon Connect, such as:
- AWS Lambda
- API Gateway
- DynamoDB
- S3
- CloudWatch
- Review logs and system behaviour to help identify and troubleshoot issues during testing.
- Verify API responses and backend data consistency during interactions.
- Test customer-facing and agent-facing web applications used for voice or chat interactions.
- Validate UI functionality related to chat sessions, agent workflows, and interaction controls.
- Identify usability issues that may affect customer or agent experience.
- Create and maintain test cases, test scenarios, and test plans.
- Execute functional, integration, and regression testing cycles.
- Document defects clearly and collaborate with developers to resolve them.
- Provide test evidence and quality reports for releases.
UI & Interaction Testing
Test Documentation & Defect Management
Integration & AWS Validation
Amazon Connect
- Contact flows
- IVR routing logic
- Voice and chat workflows
- Contact attributes and session attributes
- Queue and agent routing behaviour Routing Profiles
- Security Profiles
- HOOP
- Lex Bots
- Experience testing AI-powered conversational flows within Amazon Connect and Amazon Lex, including validation of natural language understanding (NLU) accuracy, intent recognition, and slot-filling behavior across diverse customer inputs.
- Familiarity with testing Amazon Q in Connect (AI Agent assist), including validating real-time agent recommendations, knowledge base responses, and the accuracy of AI-generated suggestions surfaced during live voice and chat interactions.
- Ability to design test cases that cover edge cases in conversational AI — ambiguous inputs, fallback handling, multi-turn dialogue context, and language variations — ensuring the bot degrades gracefully and escalates to a human agent when appropriate.
- Experience validating the end-to-end AI interaction flow, from customer utterance through Lex NLU processing, Lambda fulfillment, and response delivery via Amazon Connect — confirming correct data passing, session attributes, and response latency.
- Understanding of how to evaluate AI response quality, including relevance, tone, and accuracy against a defined knowledge base or FAQ source, and the ability to flag hallucinations or off-topic responses.
- Experience performing:
- Functional testing
- Integration testing
- End-to-end workflow testing
- Regression testing
- Experience testing contact center or AI powered IVR platforms is highly desirable.
AI & Conversational Bot Testing
Testing Skills
AWS Knowledge
- AWS Lambda
- API Gateway
- DynamoDB
- CloudWatch
- S3
- Familiarity with React.js for UI validation.
- Familiarity with Python for test scripting or automation.
- Experience using API testing tools such as Postman
- Experience with Amazon Lex bots.
- Experience with QinConnect & AI Agents
- Exposure to Contact Lens or analytics within Amazon Connect.
- Experience validating CRM integrations such as Salesforce.
- Exposure to basic test automation frameworks.
- Familiarity with concurrent call/chat load testing scenarios and basic load testing concepts.
- Understanding of queue behaviour under high load and ability to validate system stability during peak traffic scenarios.
- Ability to write clear, detailed bug reports with reproduction steps, logs, and supporting evidence.
- Experience working in Agile/Scrum teams, participating in sprint planning, stand-ups, and retrospectives.
- Proactive communication with developers, product stakeholders, and cross-functional teams to drive issue resolution.
Technical Skills
Performance & Load Testing Awareness
Communication & Collaboration
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Leading digital transformation and AI solutions company providing expert technology consulting services.
Key team members

Christopher Dickens
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