QA Automation Engineer with 4+ years in Manual and Automation Testing, skilled in Selenium and Java.
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Assessing your cultural and operational fit
Quality Assurance Engineer with 3+ years of experience in Manual and Automation Testing, with strong expertise in test case design, defect tracking, and ensuring high product quality. Experienced in working across SDLC and STLC, collaborating with cross-functional teams, and delivering reliable software in Agile environments. Also brings hands-on automation knowledge using Selenium and Java.
Centennial College
Mechanical Engineering Technology · Industrial
August 1, 2019 – June 30, 2021
Jawaharlal Nehru Technological University
Bachelor of Technology · Mechanical Engineering
August 1, 2013 – June 30, 2017
SAVYY Technologies
Quality Assurance Engineer
August 1, 2021 – May 1, 2024
India
NVIDIA
Quality Analyst
September 1, 2017 – March 1, 2019
Hyderābād, Telangana, India
Mosaic Seats
September 1, 2017 – March 1, 2019
Tested migration of application from on-premise to cloud environment. Performed end-to-end testing to validate system functionality after migration. Designed and executed regression test cases for critical modules. Reported and tracked defects and ensured closure. Collaborated with cross-functional teams to ensure smooth release.
Caiman Data Viewer (CDV)
September 1, 2017 – March 1, 2019
Analyzed requirements and prepared test scenarios and test cases. Performed functional and regression testing for customer identity workflows. Validated data accuracy and system behavior across modules. Logged defects and worked closely with developers for resolution. Participated in sprint testing and ensured timely delivery of features.
Cultural Fit Analysis
The candidate's experience across different companies (SAVYY Technologies, NVIDIA) and projects (Caiman Data Viewer, Mosaic Seats) indicates adaptability. The stated collaboration with cross-functional teams and participation in Agile ceremonies suggest a team-oriented approach. The breadth of skills listed, including both manual and automation testing, along with various tools and processes, shows a willingness to learn and engage with diverse technical environments. The transition from a Mechanical Engineering background to QA also suggests a proactive approach to career development.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through participation in Agile ceremonies and collaboration with development and business teams. The project descriptions indicate an ability to work within structured development lifecycles and contribute to timely feature delivery. The NVIDIA experience also highlights an ability to review feedback and identify recurring issues, suggesting an analytical and problem-solving mindset.