Senior QA Automation Engineer
Geta AI Labs Private Limited · Pune
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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 4-6 years of QA experience. Candidates should therefore verify the experience requirement with the hiring team before applying. Location: Pune Experience: 3+ years; detailed listing indicates 4-6 years Company: Geta AI Labs Private Limited Position: Senior QA Automation Engineer Work Mode: Work From Office About Geta AI Labs Geta.ai Official Website: https://geta.ai/?utm_source=chatgpt.com 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. 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: Modern UI Automation: Playwright, Selenium or Cypress API Automation: Postman, REST Assured and backend validation Conversational AI Testing: NLP, intent recognition, chatbot and voicebot workflows CI/CD: Jenkins, GitHub Actions or GitLab CI Cloud: AWS/Azure exposure Performance: JMeter or Locust Quality Engineering: Risk-based coverage, release validation and production readiness 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. 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 Preparation Tips - Tailored to This JD The biggest mistake would be preparing only Playwright interview questions. 1. 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, ambiguous question, spelling mistake, incomplete sentence, unexpected input, multilingual input, fallback, escalation to human agent. Also discuss how you would measure intent accuracy, response relevance, fallback behavior and conversation continuity. 2. 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. 3. Be Ready to Design a Framework Expect questions around how you would structure a scalable Playwright/Selenium framework, including: Page Objects, reusable utilities, test data, configuration, API helpers, reporting, parallel execution, CI/CD. 4. 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. 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 - Technical QA Screening: Testing fundamentals, automation, Playwright/Selenium, APIs and programming. Round 2 - Automation/Framework Round: Framework architecture, coding, debugging, CI/CD and test strategy. Round 3 - Product/AI Technical Discussion: Chatbot/voicebot testing, NLP behavior, SaaS reliability and real-world scenarios. Round 4 - 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. Expected Salary Range For a 4-6 year Senior QA Automation profile in Pune, a reasonable market-oriented expectation could be approximately 10-18 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. Resume Tips for This JD Your resume should immediately communicate automation engineering, not just manual QA. Instead of: Performed regression testing. Use: Developed and maintained Playwright-based automated regression suites for web applications. 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. How to Apply Application Link: https://www.linkedin.com/jobs/view/4447370577/ The opportunity is listed for Pune - 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. Location: Pune Experience: 3+ years; detailed listing indicates 4-6 years Company: Geta AI Labs Private Limited Position: Senior QA Automation Engineer Work Mode: Work From Office 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.