Automation QA Engineer
Posted Updated
Summary
Automation QA Engineer who builds and maintains scalable test automation for functional, integration, performance, and end-to-end scenarios across desktop, web, and cloud apps, while supporting CI/CD quality gates. Core tech: Python/JavaScript/Java/C++ test frameworks plus AI-assisted dev tools like Claude, Copilot, and ChatGPT.
Responsibilities:
- Partner with cross-functional teams, including engineering, product management, design, and research, to ensure the delivery of high-quality products.
- Develop and implement scalable test automation solutions to improve test coverage, reliability, and efficiency.
- Design, execute, and maintain automated tests for functional, integration, performance, and end-to-end scenarios.
- Create automation test plans and test cases from product requirements, technical designs, and user workflows.
- Diagnose defects, perform root cause analysis, and collaborate with developers to resolve issues quickly and effectively.
- Validate product quality across diverse platforms, operating systems, and deployment environments.
- Support and enhance CI/CD pipelines with automated testing and quality gates.
- Monitor quality metrics and test outcomes to identify opportunities for continuous improvement.
- Drive innovation in test automation, tooling, and quality engineering best practices to increase team effectiveness and product quality.
Required Skills:
- 2–4 years of experience in software test automation, quality engineering, or software development.
- Strong programming skills in Python, JavaScript, Java, C++, or similar languages.
- Experience developing and maintaining test automation frameworks, tools, and infrastructure.
- Proficiency using AI-assisted development tools (e.g., Claude, Copilot, ChatGPT) to accelerate test development and debugging.
- Solid understanding of software development lifecycles (SDLC), testing methodologies, and CI/CD practices.
- Strong debugging, root cause analysis, and defect-tracking skills.
- Familiarity with performance, scalability, reliability, and end-to-end testing.
- Experience testing desktop, web, and/or cloud-based applications.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Bachelor's degree or Master's degree in Computer Science, Engineering, or a related field, or equivalent.
Preferred Skills:
- Experience testing AI/ML-powered products or GenAI features.
- Familiarity with image-processing, creative applications, or automation-driven quality evaluation.
What they ask for
Required
- 2–4 years of experience in software test automation, quality engineering, or software development
- Strong programming skills in Python, JavaScript, Java, C++, or similar languages
- Experience developing and maintaining test automation frameworks, tools, and infrastructure
- Proficiency using AI-assisted development tools (e.g., Claude, Copilot, ChatGPT)
- Solid understanding of software development lifecycles (SDLC), testing methodologies, and CI/CD practices
- Strong debugging, root cause analysis, and defect-tracking skills
- Familiarity with performance, scalability, reliability, and end-to-end testing
- Experience testing desktop, web, and/or cloud-based applications
- Strong analytical, problem-solving, communication, and collaboration skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent
Preferred
- Experience testing AI/ML-powered products or GenAI features
- Familiarity with image-processing, creative applications, or automation-driven quality evaluation