Aisha Khan
Mid-level Automation Engineer - CI/CD Specialist · 5 years experience
Mumbai, Maharashtra
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Professional Summary
- Experienced Automation Engineer with 5 years of expertise in designing and implementing CI/CD pipelines using GitHub Actions and Jenkins
- Proficient in Java and Python for developing automated test scripts and frameworks
- Skilled in test execution, debugging, and build management for efficient software delivery
- Knowledgeable in API testing with Rest Assured and BDD frameworks like Cucumber
- Experienced in quality engineering practices and infrastructure automation for scalable testing
- Familiar with deployment processes and infrastructure management in cloud environments
- Strong analytical skills for troubleshooting automation issues and optimizing performance
- Collaborative professional working in Agile environments to integrate testing into development workflows
Work Experience
Mid-level Automation Engineer - CI/CD Specialist
[Company name] · [Start date – End date]
5 years of progressive experience as an Automation Engineer at software companies in Mumbai, specializing in CI/CD implementation and test automation. Designed and maintained automation frameworks that improved deployment frequency by 60% and reduced manual testing efforts by 75%.
Responsibilities
- Design and develop automated test frameworks and scripts using Selenium, Playwright, and Cypress for web and mobile applications
- Execute automated test suites and analyze results to identify defects and performance issues
- Collaborate with development teams to integrate testing into CI/CD pipelines using GitHub Actions, Jenkins, and other tools
- Maintain and update existing automation infrastructure, including test environments and build scripts
- Perform API and UI automation testing with Rest Assured and other specialized tools
- Debug and troubleshoot automation issues, optimizing scripts for reliability and efficiency
- Document automation processes and best practices for team knowledge sharing
- Participate in code reviews and provide feedback on testability and automation potential
- Implement quality engineering practices and infrastructure automation for scalable testing
- Stay updated with emerging technologies and tools for continuous improvement of automation strategies
- Implement AI-powered quality gates in CI/CD: ML-based intelligent test selection, LLM feature validation pipelines, GitOps deployment testing (ArgoCD), and OpenTelemetry observability for AI microservices
Project Experience
Enterprise E-commerce Platform
Developed comprehensive CI/CD pipelines using GitHub Actions for automated testing, security scanning, and deployment to AWS. Implemented parallel test execution reducing build times by 40%, covering 1000+ test cases. Technologies: GitHub Actions, Selenium, Java, Python, AWS, Docker, Maven.
Financial Services API Suite
Created automated test frameworks for REST APIs using Rest Assured and Cucumber BDD. Integrated with Jenkins for nightly regression testing and performance validation, ensuring 99.9% API uptime. Technologies: Rest Assured, Java, Cucumber, Jenkins, Git, Postman, JMeter.
Mobile Application Testing Infrastructure
Built hybrid automation framework combining Appium for mobile testing and GitHub Actions for CI/CD. Implemented device farm integration and visual testing, supporting releases across iOS and Android platforms. Technologies: Appium, Python, GitHub Actions, BrowserStack, Playwright, Cypress.
AI Quality Gates and GitOps Testing Pipeline
Implemented AI-powered quality gate system in GitHub Actions using ML-based test selection (risk-scored by code change impact), LLM response validation for AI microservices, and OpenTelemetry trace correlation for test observability. Integrated ArgoCD GitOps deployment testing to validate Kubernetes rollouts automatically. Technologies: GitHub Actions, ML-based Test Selection, OpenTelemetry, ArgoCD, GitOps, LLM Pipeline Testing, Kubernetes, Helm.