Anusha Bollam
QA Automation EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 4+ years in Cloud, CI/CD, and diverse testing frameworks.
Around 4+ years of experience as a QA Automation Engineer in Manual Testing and Defect Lifecycle Management of Web, Client/Server, and Mobile applications across diverse domains including Telecom, Healthcare Insurance and Retail. Strong command over Software Testing Life Cycle (STLC) and Software Development Life Cycle (SDLC) including planning, design, execution, defect tracking, and test closure activities. Proficient in Agile and Waterfall methodologies. Built automation frameworks using Selenium WebDriver, Cypress, Playwright, Appium, and UFT, integrated with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD, Bamboo, Azure DevOps, and AWS Code Pipeline) to ensure seamless and automated test execution across cloud and on-premises environments. Built Hybrid, Data-Driven, Keyword-Driven, BDD (Cucumber), and TDD automation frameworks for functional, regression, integration, and end-to-end testing of enterprise-grade applications. Developed test automation using Java, Python, JavaScript, TypeScript, Ruby, Groovy, and C#, with expertise in POM (Page Object Model) design patterns for maintainability and reusability.
Comcast Corp.
Senior QA Tester
January 1, 2025 – Present
Philadelphia, Pennsylvania, United States
Humana
QA Automation Engineer
February 1, 2024 – December 1, 2024
Louisville, Kentucky, United States
CCE Software
QA Engineer
June 1, 2020 – July 1, 2022
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked in diverse industries (Telecom, Healthcare, Retail) and with various technologies and methodologies (Agile, Waterfall, multiple programming languages, cloud platforms), indicating adaptability and a broad perspective. The continuous learning demonstrated by adopting new tools (Cypress, Playwright, Pulsar, Kafka, AWS Glue) and integrating them into pipelines suggests a growth-oriented mindset. The breadth of experience across different companies and roles (QA Engineer, QA Automation Engineer, Senior QA Tester) shows a willingness to take on new challenges and responsibilities, aligning well with dynamic team environments.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills through participation in Agile/SCRUM cycles and coordination with development teams for defect resolution. Experience with defect lifecycle management tools like HP ALM, JIRA, and Microsoft Test Manager suggests good operational fit for structured QA processes. The ability to lead integrations and build reusable utilities points to a proactive and efficiency-driven mindset.