Geta AI Labs Private Limited is hiring a Senior QA Automation Engineer in Pune for professionals with 3+ years of QA Automation experience. The role is particularly attractive for testers who want to move beyond traditional UI automation and work on Conversational AI, SaaS platforms, API automation, CI/CD, cloud, performance testing, and AI-driven quality engineering.
The current job listing describes the position as Pune, Work From Office, with the detailed requirement emphasizing 4β6 years of QA experience. Candidates should therefore verify the experience requirement with the hiring team before applying.
π Location: Pune
πΌ Experience: 3+ years; detailed listing indicates 4β6 years
π’ Company: Geta AI Labs Private Limited
π― Position: Senior QA Automation Engineer
π Work Mode: Work From Office
π’ About Geta AI Labs
Geta.ai is a Pune-based technology company focused on AI, SaaS, NLP, chatbot and customer-engagement solutions. Its platform helps businesses automate customer interactions across channels including web, WhatsApp, voice and other communication platforms. The company describes its mission around AI-powered innovation that helps businesses communicate, automate and grow.
Its product ecosystem includes customizable AI bots, inbox capabilities, automation journeys, customer-data functionality, WhatsApp marketing, SMS marketing and email marketing.
For a QA professional, this means exposure to a product environment where traditional software testing intersects with AI behavior, conversational workflows and scalable SaaS architecture.
β Why Is This Role Good for Your Experience?
This isn’t a role limited to writing Selenium scripts.
The JD covers web, API, backend, SaaS, chatbot and voicebot testing, making it a strong opportunity for someone targeting an SDET or Senior Quality Engineer career.
You could gain experience in:
πΉ Modern UI Automation: Playwright, Selenium or Cypress
πΉ API Automation: Postman, REST Assured and backend validation
πΉ Conversational AI Testing: NLP, intent recognition, chatbot and voicebot workflows
πΉ CI/CD: Jenkins, GitHub Actions or GitLab CI
πΉ Cloud: AWS/Azure exposure
πΉ Performance: JMeter or Locust
πΉ Quality Engineering: Risk-based coverage, release validation and production readiness
πΉ SaaS Testing: Reliability, scalability, security and end-to-end workflows
The combination of automation + APIs + AI testing + cloud + CI/CD can make your profile significantly more competitive for modern SDET roles.
π οΈ Skills Required
Candidates should prioritize these skills:
- Playwright / Selenium / Cypress
- Java, Python or JavaScript
- API Testing
- REST Assured / Postman
- Web & Backend Automation
- Functional & Regression Testing
- Integration & End-to-End Testing
- CI/CD
- Jenkins / GitHub Actions / GitLab CI
- Git
- AWS / Azure
- SaaS Testing
- Performance Testing
- JMeter / Locust
- Test Framework Design
- Defect Management
- Test Planning & Reporting
- Agile/Scrum
- Conversational AI Testing
- NLP & Intent Validation
- Analytical & Debugging Skills
π§ Preparation Tips β Tailored to This JD
The biggest mistake would be preparing only Playwright interview questions.
1οΈβ£ Prepare a Conversational AI Test Strategy
Be ready to explain how you would test a chatbot when the same intent can be expressed in multiple ways.
For example, design scenarios covering:
Happy path β ambiguous question β spelling mistake β incomplete sentence β unexpected input β multilingual input β fallback β escalation to human agent.
Also discuss how you would measure intent accuracy, response relevance, fallback behavior and conversation continuity.
2οΈβ£ Master API + UI Integration
Prepare a scenario where a chatbot receives information through an API, stores data in the backend and displays the result in the UI.
Explain how you would validate every layer rather than treating UI automation as the complete solution.
3οΈβ£ Be Ready to Design a Framework
Expect questions around how you would structure a scalable Playwright/Selenium framework, including:
Page Objects β reusable utilities β test data β configuration β API helpers β reporting β parallel execution β CI/CD.
4οΈβ£ Think Like a Product QA Engineer
Prepare examples where you identified risks before development was completed. The JD specifically emphasizes requirement reviews, sprint planning and quality from early development stages.
π― Expected Interview Rounds at Geta.ai
The exact process can vary by team and hiring manager. Public interview information is limited; one reported Geta AI Labs interview involved a manager-led technical discussion, including DSA and domain-related questions, so candidates should not assume the process is limited to QA tool questions.
A reasonable expected process for this senior QA position could be:
Round 1 β Technical QA Screening: Testing fundamentals, automation, Playwright/Selenium, APIs and programming.
Round 2 β Automation/Framework Round: Framework architecture, coding, debugging, CI/CD and test strategy.
Round 3 β Product/AI Technical Discussion: Chatbot/voicebot testing, NLP behavior, SaaS reliability and real-world scenarios.
Round 4 β Managerial/Leadership Discussion: Ownership, communication, collaboration and problem-solving.
Final HR Discussion: Compensation, availability, location and other employment details.
These are indicative rather than officially confirmed rounds.
π° Expected Salary Range
For a 4β6 year Senior QA Automation profile in Pune, a reasonable market-oriented expectation could be approximately βΉ10β18 LPA, depending on current CTC, automation depth, programming ability, AI-testing experience and interview performance.
Candidates with strong Playwright + API + coding + CI/CD + cloud + AI testing experience could reasonably target the upper end.
π Resume Tips for This JD
Your resume should immediately communicate automation engineering, not just manual QA.
Instead of:
β βPerformed regression testing.β
Use:
β βDeveloped and maintained Playwright-based automated regression suites for web applications.β
Highlight measurable achievements such as:
- Number of automated test cases
- Regression execution-time reduction
- CI/CD integration
- API automation coverage
- Defect reduction
- Release-validation improvements
- Framework development contributions
Add a dedicated Conversational AI Testing section if you have relevant experience. Mention chatbot, NLP, intent validation, voicebot, prompt testing or AI-assisted testing only where genuinely applicable.
π© How to Apply
π Application Link: Click Here
The opportunity is listed for Pune β Work From Office. Interested candidates should apply through the company’s current hiring channel or the relevant Geta.ai job listing. The current listing identifies the role as QA Automation Engineer, Pune
π Location: Pune
πΌ Experience: 3+ years; detailed listing indicates 4β6 years
π’ Company: Geta AI Labs Private Limited
π― Position: Senior QA Automation Engineer
π Work Mode: Work From Office
π Bottom line: If you’re an experienced QA professional looking to transition from conventional automation into AI-powered products, Conversational AI testing, scalable SaaS, API automation and modern Quality Engineering, this is a particularly interesting opportunity to consider.
