Chinmaya Karthik Botta
Professional Summary
QA Automation Engineer with 4+ years of experience delivering test automation and validation for web, mobile, API and backend systems across telecom, healthcare and infrastructure domains. Hands-on with Java, JavaScript, Python, Selenium WebDriver, Playwright, Appium, Postman and JMeter. Built CI/CD quality gates using GitHub Actions, Jenkins and GitLab CI, improved TestOps feedback loops with containerized pipelines, and used observability tools such as CloudWatch and S3 to accelerate triage and reduce release friction.
Technical Skills
Work Experience
- Partnered with product engineering to translate feature kickoff discussions into executable test strategies and acceptance criteria for web, mobile and API workstreams.
- Built reusable Playwright and Selenium WebDriver automation in Java and JavaScript to cover functional, regression and end-to-end customer-care flows, cutting manual regression validation and accelerating release checks.
- Automated backend validation for API Gateway services using Postman and SQL checks against Oracle and Cassandra to verify integrations and edge-case data handling.
- Integrated regression suites into GitHub Actions and Jenkins pipelines with Dockerized runners to provide faster TestOps feedback and improve release confidence for weekly deployments.
- Investigated production-like failures using CloudWatch logs, S3 artifacts and HeadSpin sessions, then tuned JMeter load tests and Appium mobile checks to stabilize critical journeys.
- Applied Cucumber BDD scenarios and Model Context Protocol with Claude-assisted script generation to accelerate automation design and reduce manual scripting time for new stories.
- Created and maintained manual and automated tests for patient registration, billing and laboratory features to improve release coverage and reduce regression risk.
- Developed Python utilities on AWS and GCP to seed test data, validate results and support end-to-end testing across interconnected clinical workflows.
- Executed BDD-style scenarios to align business stakeholders and developers on expected outcomes prior to release, reducing ambiguity in acceptance criteria.
- Conducted regression and integration testing for release candidates and used CloudWatch-style log reviews and defect tracking to confirm fixes and prevent repeat issues.
- Prioritized high-risk test cases with product owners and developers to focus QA effort on critical clinical and billing paths during sprints.
- Streamlined test data provisioning and validation scripts to accelerate validation cycles and support on-time releases for hospital operations.
- Developed scalable test environments and reusable Selenium and Python utilities to accelerate functional testing across project-tracking and finance workflows.
- Automated smoke and regression runs using GitLab CI to shorten feedback cycles and improve release velocity for scheduled maintenance drops.
- Built and maintained S3-backed test data sets and environment artifacts to ensure reproducible defects and consistent validation inputs across teams.
- Reviewed requirements with operations stakeholders to identify gaps early and translated them into stable, repeatable test cases.
- Produced execution summaries, defect trends and open-risk reports for stakeholders to support quicker sign-off on maintenance and patch releases.
- Coached QA peers on reuse patterns and automation best practices to raise baseline test reliability and reduce flaky runs.
Education
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