doodleblue is hiring a Senior QA Engineer – Digital Agent / Conversational AI for a remote opportunity. This is a senior-level QA position for professionals experienced in Conversational AI, Digital Agents, Salesforce Service Cloud, API testing, integration testing and omnichannel customer journeys.
📍 Location: Remote | 🕐 Shift: 1:00 PM–11:30 PM IST | 💼 Level: Senior QA | 🤖 Focus: Digital Agent & Conversational AI
🏢 About doodleblue
doodleblue is a digital strategy and technology company that works with global brands, startups, consultancies, Fortune 500 organizations and governments on digital transformation initiatives. Its services span digital transformation, web and mobile development, enterprise applications, AI/ML, IoT, cybersecurity and performance engineering.
The company also highlights AI-powered decision systems, data and workflow automation, CRM solutions and customer-focused digital experiences. Its published work includes chatbot and AI-related solutions, making this QA opportunity particularly relevant for professionals interested in emerging customer-service technologies.
📌 Job Details
- Company: doodleblue Innovations
- Role: Senior QA Engineer – Digital Agent / Conversational AI
- Location: Remote
- Shift: 1:00 PM–11:30 PM IST
- Experience: Senior-level QA
- Primary Areas: Conversational AI, Digital Agents, Salesforce Service Cloud
- Testing: Functional, Integration, Regression, System, E2E and UAT
- API: REST APIs, Postman
- Database: SQL and data validation
- Defect Management: JIRA
- Methodology: Agile
- Additional: Sierra, Azure DevOps, automation frameworks
💼 Why Is This Role Good for Your Experience?
This position offers a valuable combination of traditional QA engineering and next-generation AI testing. Unlike a conventional web application QA role, you would validate conversational systems where the expected behavior isn’t always a simple fixed input/output.
You would test intent recognition, entity extraction, conversation flows, escalation paths, business rules and omnichannel interactions. That experience can be highly valuable for QA professionals moving toward AI Quality Engineering, SDET, Senior QA or Conversational AI Testing.
The role also provides exposure to Salesforce Service Cloud and Case Management, API integrations, data synchronization and end-to-end customer journeys. This means you’ll need to understand how multiple systems communicate rather than testing individual screens in isolation.
🛠️ Skills Required
- 🤖 Conversational AI Testing: Intent recognition, entity extraction, context handling, fallback and escalation scenarios.
- 💬 Chatbot Testing: Conversation flows, negative prompts, ambiguous questions and multi-turn conversations.
- ☎️ Voice/IVR Testing: Call flows, routing, prompts, transfers and failure scenarios.
- 📧 Email Agent Testing: Intent classification, response validation and case creation.
- ☁️ Salesforce Service Cloud: Case Management, workflows, integrations and customer-service processes.
- 🔌 API Testing: REST APIs, HTTP methods, authentication, payloads and response validation.
- 🧪 Postman: Collections, environments, assertions and API workflow validation.
- 🗄️ SQL: Data comparison, joins, filtering and synchronization validation.
- 🐞 JIRA: Defect lifecycle, triage, severity/priority and RCA.
- 🔄 E2E Testing: Cross-system business-flow validation.
- 📊 Quality Metrics: Defect trends, test coverage, pass rates and release readiness.
- ⚙️ Agile: Sprint planning, refinement, stand-ups, reviews and retrospectives.
🎯 Expected Interview Rounds at doodleblue
Round 1 – Recruiter/HR Screening: Expect questions about your experience, remote work, shift availability, notice period and compensation.
Round 2 – QA Technical Interview: Prepare test strategy, test-case design, E2E testing, regression, UAT, defect management and real-world QA scenarios.
Round 3 – Conversational AI & Salesforce: Expect deeper questions around chatbot/voice-bot testing, intent validation, Salesforce Service Cloud, case workflows and integrations.
Round 4 – API & Data Validation: Be ready for Postman, REST API scenarios, SQL queries, data synchronization and troubleshooting.
Round 5 – Managerial/Client Discussion: Senior candidates may be assessed on ownership, release decisions, stakeholder communication, Agile collaboration and handling production-quality issues.
💰 Expected Salary Range
The supplied vacancy does not specify compensation. Public salary information for doodleblue varies considerably by role and experience. Glassdoor currently lists reported salaries around ₹5–6 LPA for Tester-QAT and ₹6–7 LPA for QA Automation Engineer, while Indeed reports an average of approximately ₹11.03 LPA for Senior Software Engineers at doodleblue Innovations.
For this senior-level QA position with specialized Conversational AI, Salesforce, API and integration-testing requirements, a practical market expectation could be approximately ₹10–18 LPA, with the actual offer depending heavily on seniority, specialized experience, client/project requirements and negotiation.
📚 Preparation Tips – Unique to This JD
- Test a chatbot like a real customer: Prepare scenarios for unclear questions, spelling mistakes, repeated questions, context switching and unsupported requests.
- Master intent testing: Know how to validate correct intent classification, similar intents, confidence thresholds, fallback behavior and incorrect intent routing.
- Design an omnichannel journey: Practice a flow such as chatbot → escalation → agent → Salesforce case → email/voice follow-up.
- Revise Salesforce Service Cloud: Understand Cases, queues, assignment, status transitions, workflows and integrations.
- Prepare API-to-database validation: Explain how you would send a request through Postman, validate the API response and verify the resulting database changes using SQL.
- Practice AI-specific defects: Examples include hallucinated responses, incorrect entities, lost conversation context, wrong escalation and inconsistent responses across channels.
- Prepare release-readiness metrics: Be ready to explain what information you would present before recommending Go/No-Go.
- Prepare one difficult production issue: Explain detection, impact, RCA, fix validation, regression and preventive action.
📄 Resume Tips for This Role
Prioritize keywords such as Conversational AI Testing, Digital Agent Testing, Chatbot Testing, Voice Bot, IVR, Salesforce Service Cloud, Case Management, API Testing, Postman, REST API, Integration Testing, E2E Testing, SQL, JIRA, UAT, Regression Testing, Agile, Defect Triage, Root Cause Analysis and Release Validation.
“Designed and executed conversational AI test scenarios covering intent recognition, entity extraction, fallback, escalation and multi-turn conversation flows.”
📩 How to Apply
Interested candidates can share their updated CV with the recruiter mentioned in the hiring announcement:
📧 Email: pavithra.r@doodleblue.com
⭐ Final Verdict
This is a strong opportunity for senior QA professionals who want to move beyond conventional UI testing into Conversational AI, Digital Agents, Salesforce and omnichannel Quality Engineering.
🎯 Best preparation strategy: build one complete customer journey in your mind—from customer message → intent recognition → entity extraction → bot response → API integration → Salesforce case creation → escalation → database validation → release validation. If you can explain how you would test every stage and identify failures across the journey, you’ll be well aligned with this JD.
