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QA Engineer with 2+ years in SaaS CRM & Automation Testing
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Quality-focused Test Engineer with 2.9 years delivering clean releases for SaaS CRM and eCommerce platforms. Sole QA owner across multi-module product suites - driving end-to-end test coverage, eliminating production defect leakage, and validating Al Chatbot features from inception to GA launch. Consistent track record of cutting regression time, resolving 100% of customer-escalated issues, and releasing on schedule. Seeking an environment to apply deep QA expertise across diverse client domains.
St. Ann's College for Women
M.Sc.
August 1, 2020 – June 30, 2020
EngageBay CRM
Software Test Engineer
January 1, 2023 – September 1, 2025
Hyderābād, Telangana, India
EngageBay CRM (SaaS)
January 1, 2023 – September 1, 2025
Maintained 100% regression coverage across 20+ consecutive sprint releases - zero Sev-1 defects escaped to production in the final 4 release cycles. Reduced defect leakage by ~40% by redesigning the regression suite from 80 to 300+ targeted test cases, eliminating redundancy and covering all edge cases. Cut defect resolution time by 30% by delivering developer-ready bug reports with reproduction steps, environment data, and root-cause hypotheses - 80%+ of defects fixed on first attempt. Triaged and resolved 100% of support-escalated customer issues within the QA cycle, producing reproduction guides that reduced repeat support tickets by an estimated 25%. Used Cucumber BDD framework across marketing module. Drove AI Chatbot feature testing from scratch - designed 60+ test scenarios covering intent recognition, NLP edge cases, fallback flows, and API integration, enabling on-time GA launch with zero critical defects. Caught 15+ data-layer bugs invisible to functional testing by writing targeted SQL validation queries against production-replica databases across CRM sync, pipelines, and reporting modules. Validated 50+ REST API endpoints via Postman - covering authentication, request/response contracts, error handling, and boundary conditions across all major CRM modules. Maintained full Requirements Traceability Matrix (RTM) for 4 major feature releases, ensuring zero untested requirements reached production.
Reacho eCommerce Platform
January 1, 2023 – September 1, 2025
Reduced manual regression effort by ~35% by authoring Selenium WebDriver automated test cases for high-frequency flows: cart, checkout, order management, and user authentication. Delivered 90%+ test pass rates across 3 major releases, keeping the product stable through rapid feature iteration with a lean QA team. Resolved 100% of client-reported support tickets within SLA by replicating issues precisely and providing fix-verification reports that closed tickets without re-escalation. Ensured zero browser-specific defect escapes post-launch via structured cross-browser compatibility testing across Chrome, Firefox, and Safari.
Cultural Fit Analysis
The candidate's experience across CRM (SaaS) and eCommerce platforms, along with testing an AI Chatbot, indicates a breadth of domain exposure. Their focus on reducing manual effort through automation and improving efficiency aligns with a culture that values continuous improvement and lean operations. The detailed descriptions of impact (e.g., 'zero Sev-1 defects escaped', 'reduced defect leakage by ~40%') suggest a results-oriented individual who can contribute positively to a performance-driven team. The candidate's experience as a 'sole QA owner' implies a high degree of autonomy and responsibility, which could be a good fit for teams requiring self-starters.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their ability to redesign regression suites, triage customer issues, and provide detailed bug reports. Their experience in driving AI Chatbot feature testing from scratch indicates initiative and adaptability. The focus on reducing defect leakage and resolution time, along with maintaining 100% regression coverage, suggests a detail-oriented and results-driven work attitude. The ability to work across multiple product lines and ensure on-time GA launches points to good organizational and project management capabilities within a QA context.