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QA Automation Engineer with 4+ years in API, UI & Performance Testing, and AWS Services.
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Assessing your cultural and operational fit
Results-driven QA Engineer with over 4+ years of experience in manual, API, backend, and performance testing of cloud-native applications. Proficient in JavaScript-based automation using Playwright, Postman, and Jest, and performance testing with JMeter. Strong expertise in TLS/cipher validation, DRM license/key workflows, and certificate-based (mTLS) authentication. Experienced in validating secure infrastructure and APIs across AWS services including EC2, S3, IAM, Cognito, API Gateway, and SSM. Adept in test coverage strategies, traceability, and integrating automated tests into CI/CD pipelines. Certified in Selenium and TestNG, with domain knowledge in Media & Broadcasting, OTT Platforms, and Secure Cloud Delivery.
DR.C.V. Raman University, Bilaspur
MBA
August 1, 2018 – June 30, 2018
Kuvempu University, Bangalore
B.Sc
August 1, 2016 – June 30, 2016
Ananya Networks Ind Pvt Ltd
QA Engineer
June 1, 2023 – Present
Bengaluru, Karnataka, India
iEnergizer IT Services Pvt Ltd
QA Engineer
March 1, 2022 – April 1, 2023
Bengaluru, Karnataka, India
UI Automation using Playwright
June 1, 2023 – June 1, 2026
Automated key user journeys such as Login, Dashboard, and CRUD operations, achieving 95% coverage of business-critical flows. Designed and built a custom Page Object Model (POM) framework for the Portal Dashboard, with dedicated page classes supporting: Add, List (card and list view), Edit, and Delete actions on each page. Reusable handlers for complex UI components such as date/time pickers, headline cards, JSON viewers, tables, and a custom network logger. Improved code maintainability by 50% through modular POM structure and centralized action utilities. Enabled fast, reliable regression cycles by running cross-browser and headless Playwright tests in CI pipelines, reducing test execution time by 70%.
Software Testing & Automation
Besant Technologies
February 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience spans multiple companies and includes diverse projects, indicating adaptability. The focus on automation, CI/CD, and cloud technologies aligns well with modern development practices. The inclusion of AI/LLM testing suggests a proactive approach to emerging technologies, which is a positive cultural indicator for innovation-driven teams. The target role of QA Automation Engineer aligns perfectly with the candidate's demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration in Agile ceremonies and a focus on improving code maintainability and reducing test execution time, indicating a good operational fit. The detailed descriptions of problem-solving (e.g., reducing post-release defects, improving log analysis) suggest strong analytical and problem-solving skills.