Qa Automation Engineer In Cloud Resume Example
Professional ATS-optimized resume template for Qa Automation Engineer In Cloud positions
John Doe
Lead QA Automation Engineer – Cloud Solutions | Tech Innovators Inc.
Email: johndoe@email.com | Phone: (555) 123-4567 | LinkedIn: linkedin.com/in/johndoe | Location: San Francisco, CA
PROFESSIONAL SUMMARY
Results-driven QA Automation Engineer with over 7 years of experience in designing, developing, and implementing robust automation frameworks within cloud-native environments. Specialized in AWS and Azure platforms, with deep expertise in CI/CD pipelines, API testing, and containerized testing solutions. Adept at translating business requirements into scalable test strategies, reducing regression cycles, and enhancing product quality in highly dynamic SaaS ecosystems. Passionate about leveraging emerging automation tools, scripting languages, and cloud-native testing paradigms to accelerate release cycles and ensure optimal user experience.
SKILLS
Hard Skills
- Cloud Platforms: AWS (Lambda, EC2, S3), Azure (Functions, Blob Storage)
- Automation Frameworks: Selenium WebDriver, Cypress, Playwright, TestCafe
- Programming Languages: Python, Java, JavaScript/TypeScript
- CI/CD Tools: Jenkins, GitHub Actions, GitLab CI
- Containerization & Orchestration: Docker, Kubernetes
- API Testing: Postman, RestAssured, Karate, Swagger
- Test Management: TestRail, Zephyr
- Cloud Testing Tools: AWS Device Farm, Sauce Labs
- Infrastructure as Code: Terraform, CloudFormation
Soft Skills
- Critical Thinking & Problem Solving
- Cross-Functional Collaboration
- Agile & Scrum Methodologies
- Excellent Communication Skills
- Continuous Learning & Adaptability
- Quality Advocacy & User-Centric Approach
WORK EXPERIENCE
San Francisco, CA | June 2022 – Present
- Architected and maintained scalable automation frameworks leveraging Cypress and Playwright for web applications deployed on AWS, reducing manual regression efforts by 60%.
- Integrated API validation into CI pipelines using Postman collections and Newman CLI, ensuring 99.9% API uptime and data consistency.
- Led migration of legacy testing to containerized environments with Docker and Kubernetes, achieving faster environment setup and parallelization.
- Collaborated with DevOps to implement automated security scans and performance profiling, improving overall product stability.
*QA Automation Engineer | CloudSoft Technologies*
Remote | March 2019 – May 2022
- Developed Python-based API testing libraries that integrated with Jenkins CI/CD pipelines for multi-region SaaS platforms hosted on Azure.
- Designed and executed extensive end-to-end automation scripts for cloud-based microservices, increasing test coverage by 45%.
- Implemented headless browser testing with Playwright, supporting CI pipelines for rapid feedback cycles in complex UI workflows.
- Conducted regular training sessions and knowledge sharing on cloud-specific testing best practices.
*Junior QA Engineer | DataStream Solutions*
San Jose, CA | July 2016 – February 2019
- Assisted in manual and automated testing of cloud-hosted analytics dashboards utilizing Selenium and Java.
- Maintained test documentation and defect tracking within Jira, facilitating smooth communication between development and QA teams.
- Participated in onboarding new team members by developing onboarding automation scripts and guidelines.
EDUCATION
**Bachelor of Science in Computer Science**
University of California, Berkeley | 2012 – 2016
CERTIFICATIONS
- AWS Certified DevOps Engineer – Professional (2023)
- Certified Selenium Tester Foundation (2019)
- Certified Scrum Master (2021)
PROJECTS
Cloud-Native Test Automation Framework (Open Source)
Led the development of an open-source test automation toolkit designed for microservices on Kubernetes, integrating with AWS services for scalable load testing and reporting.
- Features include webhook-based report automation, multi-region environment support, and seamless CI/CD integrations.
SaaS Application Performance Monitoring
Collaborated on building an integrated performance and reliability monitoring suite with AWS CloudWatch, New Relic, and custom dashboards, identifying key bottlenecks before production releases.
TOOLS & TECHNOLOGIES
- **Automation**: Cypress, Playwright, TestCafe, RestAssured, Karate
- **Cloud**: AWS, Azure, GCP (basic knowledge)
- **CI/CD**: Jenkins, GitHub Actions, GitLab CI
- **Containers**: Docker, Kubernetes
- **Languages**: Python, Java, TypeScript
- **Monitoring & Logging**: AWS CloudWatch, Prometheus, Grafana
LANGUAGES
- English (Native)
- Spanish (Fluent)
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