QA Engineer

Job boardPublic salary data for CloudEagle.ai shows reported Senior QA Engineer compensation of approximately 7.2-12 LPA. For a professional with 3.5-7 years of experience a reasonable market expectation could be around 10-18 LPA.

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CloudEagle.ai is hiring an experienced QA Engineer for a remote opportunity in India. The role is aimed at professionals with 3.5 to 7 years of experience who enjoy combining strong manual testing practices with automation debugging customer-issue investigation and modern SaaS quality engineering. Important: Candidates should be available to join immediately or within 30 days. About CloudEagle.ai CloudEagle.ai is a SaaS and AI-focused technology company founded in 2021 that helps enterprises discover govern secure manage and optimize their SaaS and AI applications. Its platform brings application visibility identity governance security procurement licensing renewals and AI governance into a centralized environment. Why Is This QA Engineer Role Good for Experienced Professionals? This isnt simply a test-execution position. The JD combines functional testing regression testing cross-browser validation automation exposure production-customer issue investigation and defect trend analysis. You can gain experience in: Testing enterprise SaaS workflows Investigating real customer-reported issues Performing root-cause analysis rather than simply reporting defects Improving regression and cross-browser coverage Working with JavaScript-TypeScript-based automation Understanding CI-based testing practices Collaborating with product and engineering teams Using defect analytics to prevent recurring problems The role can be particularly valuable for a QA Engineer who wants to move toward Quality Engineering SDET or Senior QA Engineer responsibilities. Skills Required Based on the JD candidates should focus on the following skills: Core QA: Manual Testing Functional Testing Regression Testing System Testing Integration Testing Cross-Browser Testing Test Case Design Test Planning Defect Management and Root Cause Analysis. Automation: Web Automation Selenium-Playwright-Cypress or similar frameworks JavaScript-TypeScript scripting and automation framework fundamentals. Tools: Jira Confluence CI-CD tools Git and browser debugging tools. Process: Agile-Scrum SDLC STLC defect lifecycle and risk-based testing. Bonus skills: API testing REST concepts SQL cloud-SaaS testing microservices testing and basic security testing. CloudEagle.ai-Specific Preparation Tips Dont prepare only generic QA interview questions. For this particular role build a small SaaS testing strategy before the interview. Imagine CloudEagle launches a feature that automatically discovers a new SaaS application. Explain how you would test it across: Functional workflows Positive and negative scenarios Different browsers User permissions and roles API responses Database-data consistency Regression impact Customer-facing failure scenarios Also prepare one real example where you investigated a production-customer defect identified the root cause and introduced a preventive test. For automation revise JavaScript-TypeScript basics and be prepared to explain how you would structure a maintainable UI automation framework. Resume Tips Your resume should immediately communicate that you can handle both manual QA and automation. Instead of writing: Performed testing and reported bugs. Use achievement-oriented statements such as: Designed and executed functional regression and cross-browser test suites for web applications identifying critical defects before production releases. Highlight: JavaScript-TypeScript Selenium-Playwright-Cypress Jira-Confluence CI/CD integration Customer-production-issue investigation Root Cause Analysis Regression automation SaaS-Web application testing Agile-Scrum If you have metrics include them. For example: Reduced regression execution time by 40% through automation. Also place your notice period prominently because immediate availability or joining within 30 days is an explicit requirement for this opening. Expected Salary Range CloudEagle.ai has not publicly disclosed the compensation for this specific QA Engineer opening. Public salary data for CloudEagle.ai shows reported Senior QA Engineer compensation of approximately 7.2-12 LPA although the sample is small and may not represent the current role or offer structure. For a professional with 3.5-7 years of experience a reasonable market expectation could be around 10-18 LPA depending on experience automation expertise current CTC interview performance and negotiation. Expected Interview Rounds CloudEagle.ai does not publish a fixed QA-specific interview process. Public candidate reports indicate that its experienced hiring processes have included combinations of one-on-one interviews and assignments while other recent technical roles have involved an assignment followed by a technical interview. For this QA position candidates should reasonably prepare for: Round 1: Recruiter-initial discussion Round 2: QA technical interview Round 3: Practical-automation or testing assignment Round 4: Hiring-manager-team discussion Round 5: HR-final discussion The exact process can vary by team and candidate. How to Apply Interested candidates should send their updated resume to: Jitendra.s@cloudeagle.ai Mention your total experience current location notice period current CTC expected CTC and key automation skills in the email. Suggested subject: Application – QA Engineer – 3.5-7 Years – Immediate/30 Days Final Tip: This opportunity is best suited to QA professionals who can demonstrate more than test execution. Show how you improve quality investigate failures automate repetitive scenarios understand customer impact and prevent defects from returning. The salary estimate is deliberately conservative: publicly reported CloudEagle data lists Senior QA Engineer at 7.2-12 LPA but only three reported salaries are shown so it should not be treated as an official compensation range. Public interview reports also indicate that CloudEagle has used assignments and one-on-one-technical interviews but there is no verified QA-specific fixed sequence.