We are on the hunt for a QA Automation Engineer to become a pivotal member of our R&D team, focusing on addressing complex challenges in the testing realm. The ideal candidate will possess a strong aptitude for inventive problem-solving, expertly balancing immediate needs with innovative solutions that have longevity in mind.
- 3 + years as an Automation QA Engineer.
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field.
- Proficiency with automation tools such as Selenium, Appium, Cucumber, and WDIO is mandatory.
- Solid experience in drafting test plans.
- Demonstrable experience with REST API Automation Testing.
- Proficiency in testing both Frontend and Backend systems.
- Experience with Web or Mobile application testing.
- Fluent in English, with excellent written and verbal communication skills.
- Prior experience in SaaS B2B companies is a plus.
- At least 1 year of experience in cloud environments, specifically AWS and/or Azure, is beneficial.
- Familiarity with TypeScript is an added advantage.
- Design, implement, and optimize aiOla’s testing suites.
- Uphold the highest standards of quality using both manual and automated testing methods.
- Develop comprehensive test plans, ensuring coverage of all vital use cases.
- Play an active role in version testing and pre-release processes.
- Integrate and adopt new tools to enhance our automation suite.
- Diagnose customer issues, aiding the support team in resolving complex technical challenges.
- Collaborate with developers, product teams, and internal stakeholders to ensure top-notch quality in aiOla’s deployments and features.
- Oversee portions of the release pipeline.
- Demonstrate effective problem-solving capabilities, articulating program challenges and driving them to resolution.
- Exhibit strong organizational skills, emphasizing attention to detail and the ability to juggle multiple tasks.
- Remote/office (Kyiv, Vinnytsia)
- Flexible working schedule.
- Medical insurance
- Working with latest cutting-edge technologies
- Great career development opportunities in a growing company
- Internal training in data engineering, data science