Help & Supportcareers@gravityer.com
QA Automation Engineer with 7+ years in Automation & AI/ML Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior QA Engineer with 6+ years of experience in manual and automation testing across web and mobile applications. Strong expertise in Selenium automation using Python, API testing, mobile testing, performance testing, and security testing. Experienced in end-to-end QA lifecycle, Agile methodologies, and CI/CD integration. Additionally, hands-on experience in AI/ML application testing, including camera-based image recognition systems (ANPR/ACNR), validating ML outputs, data accuracy, edge cases, and end-to-end workflows. Proven ability to collaborate with cross-functional teams to deliver stable, high-quality software in fast-paced environments.
Cultural Fit Analysis
The candidate has worked on diverse projects (PikMyBox, Boltseal, Transecur, Lynkgrid, OpenCart, Shopware) across different companies, indicating adaptability. The experience aligns well with a QA Automation Engineer role, showing a focused career path. The breadth of technical skills, including AI/ML testing, suggests a willingness to learn and adapt to new technologies, which is positive for cultural fit in innovative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with developers, product owners, and QA teams. Participation in Agile ceremonies (sprint planning, daily stand-ups, retrospectives) indicates good operational fit for agile environments. Contributions to documentation and knowledge sharing suggest a proactive approach to team efficiency.