Help & Supportcareers@gravityer.com
QA Automation Engineer with 4+ years in e-commerce and digital payments testing, specializing in end
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven QA Engineer with 4 years of experience in e-commerce and digital payments testing, specializing in end-to-end functional validation and business requirement analysis. Skilled in automation frameworks like Selenium and TestNG, with hands-on experience in CI/CD pipelines using Jenkins, GitLab CI/CD, and AWS DevOps. Proficient in API testing, SQL validation, UAT, and agile methodologies. Additionally experienced in AI/ML annotation and data quality validation, with a strong focus on defect detection and process optimization. Adept at delivering high-quality, scalable, and reliable solutions through effective cross-functional collaboration.
College of Engineering, Guindy - Anna University
MBA · Tourism Management
August 1, 2019 – June 30, 2021
SRM Institute of Science and Technology, Kattankulathur
B.Sc · Computer Science
August 1, 2016 – June 30, 2019
Amazon Development Centre
Quality Service - Device Associate
November 1, 2023 – Present
Chennai, Tamil Nadu, India
Amazon Development Centre
Digital Associate - Artificial General Intelligence Data Services
June 1, 2022 – October 1, 2023
Chennai, Tamil Nadu, India
Project RING
June 1, 2022 – October 1, 2023
Performed high-accuracy video annotation and model training, consistently meeting strict quality benchmarks. Collaborated with cross-functional teams to improve ML tools and ensure high-quality data for global clients. Identified data inconsistencies and implemented process improvements, reducing error rates and enhancing delivery timelines. Optimized SOPs and onboarding frameworks, reducing training time by 30% and improving team efficiency. Delivered operational excellence across computer vision projects (including Ring Camera) while ensuring data quality, security compliance, and actionable reporting.
Cultural Fit Analysis
The candidate's experience at Amazon, a large, fast-paced tech company, suggests an ability to thrive in structured, high-performance environments. Their involvement in diverse projects, from AI/ML data services to digital bookstore and payments QA, indicates adaptability and a willingness to tackle varied challenges. The blend of a B.Sc in Computer Science and an MBA in Tourism Management, while unusual, could suggest a broad perspective and business acumen, though the MBA's direct relevance to a QA Automation role is limited. The focus on process improvement and collaboration aligns with a team-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked with cross-functional teams to improve ML tools, align testing with requirements, and provide stakeholder reports. Their experience in optimizing SOPs and onboarding frameworks, along with mentoring junior team members, indicates leadership potential and a proactive approach to operational efficiency. The ability to identify data inconsistencies and implement process improvements suggests a detail-oriented and problem-solving mindset.