Skill diminta
API TestingAnalytical ThinkingAttention to DetailCI/CDCypressJavaJavaScriptPlaywrightPythonSeleniumTypeScript
Gaji pasar untuk posisi ini
Median Rp6,5 jt/bulan · rentang umum Rp4,5 jt – Rp7,2 jt
Berdasarkan 234 lowongan QA & Testing se-Indonesia (semua level).
Lihat data gaji selengkapnya →Deskripsi
Deskripsi pekerjaan QA Automation Engineer (AI-Driven Testing) Pt. Tiga Daya Digital Indonesia
Job Description
- Design, develop, and execute manual and automated test cases to ensure software quality and reliability.
- Analyze business requirements and translate them into test scenarios, test cases, and test scripts.
- Develop, maintain, and optimize automated testing scripts using relevant automation frameworks.
- Leverage AI tools to generate test cases, automation scripts, test data, and analyze error logs.
- Validate AI-generated test scripts and test results to ensure accuracy, reliability, and proper test coverage.
- Utilize self-healing automation frameworks to improve test stability and reduce script maintenance.
- Identify, document, track, and troubleshoot software defects in collaboration with development teams.
- Explore and implement AI-driven testing approaches, including QA Agents and LLM-based testing, to improve testing efficiency.
- Integrate automated tests into CI/CD pipelines and maintain testing documentation and reports.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in Quality Assurance and Automation Testing.
- Proficiency in at least one programming or scripting language, such as Java, Python, JavaScript, or TypeScript.
- Hands-on experience with automation testing frameworks such as Selenium, Playwright, Cypress, or similar tools.
- Strong understanding of software testing fundamentals, including test case design, regression testing, API testing, and defect management.
Experience using AI tools such as ChatGPT, GitHub Copilot, or similar tools to support test case generation, automation scripting, debugging, and log analysis.
- Ability to review and validate AI-generated scripts, test data, and outputs to ensure accuracy and reliability.
- Familiarity with self-healing automation frameworks or AI-powered testing tools is an advantage.
- Exposure to QA Agents, custom AI Agents, or LLM Testing is highly preferred.
- Strong analytical thinking, problem-solving skills, and attention to detail.