Software Engineer with 3+ years in Manual & API Testing
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QA Engineer with 3+ years of experience in manual and API testing, specializing in functional, regression, sanity, and end-to-end testing. Strong expertise in test case design, defect tracking, and requirement analysis. Hands-on experience in API testing using Postman and database validation using SQL. Experienced in Agile/Scrum environments, collaborating with cross-functional teams to deliver high-quality software. Proven ability to identify critical defects, ensure system stability, and support multiple release cycles. Currently upskilling in automation testing using Playwright and TypeScript, with a strong focus on transitioning into an automation-driven QA role.
Vaagdevi Institute of Technology & Science
B.Tech · Computer Science Engineering
August 1, 2018 – June 30, 2022
LTIMindtree
Software Engineer (Manual QA)
September 1, 2022 – November 1, 2025
India
FAQMS – Failure Analysis Quality Management System
June 28, 2026 – Present
FAQMS is an Oracle Agile Product Lifecycle Management-based platform for performing detailed failure analysis of Cisco hardware components. It supports case-by-case engineering investigations to identify root causes of product failures and enables advanced quality management for returned parts. The system offers end-to-end process workflows, case status tracking, and quality control measures to prevent recurrence.
Cultural Fit Analysis
The candidate's experience is primarily in manual QA within a large enterprise (Cisco client via LTIMindtree). While the project is substantial, the role is specialized in manual testing. The stated goal of transitioning to an automation-driven QA role indicates an alignment with modern development practices and a desire for growth, which is a positive cultural fit. However, the current experience lacks diversity in project types or technologies beyond Oracle Agile PLM and basic QA tools. The candidate's proactive learning in automation (Playwright, TypeScript) shows initiative, which is a good cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through working with cross-functional teams in an Agile/Scrum environment. Their experience in providing knowledge transfer sessions indicates a willingness to mentor and share knowledge. The focus on identifying critical defects and ensuring system stability points to a detail-oriented and quality-focused approach. The candidate's proactive upskilling in automation suggests adaptability and a growth mindset, which are positive for operational fit.