Test Automation Engineer (iOS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Test Automation Engineer (iOS/Swift): Automating test suites for a social news aggregation platform with an accent on stability across releases and high-quality user experience. Focus on developing and maintaining automated suites using XCUITest, integrating them into CI/CD pipelines, and improving the internal automation framework.
Location: Remote (Turkey or Romania)
Company
AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.
What you will do
- Create and maintain automated test cases and execute suites to ensure system quality prior to production.
- Develop, maintain, and troubleshoot automated test suites through continuous integration for rapid feedback.
- Maintain the stability of test infrastructure within non-production environments.
- Collaborate with software developers to create test plans, test cases, procedures, and reports.
- Participate in triaging and troubleshooting issues to identify root causes and resolutions.
- Influence the engineering organization's approach to unit, integration, and end-to-end testing.
Requirements
- 4+ years of experience building automation frameworks for mobile or web applications, particularly for social media apps.
- High proficiency in testing methodologies, SDLC, and QA Best Practices.
- Ability to independently design test plans based on requirements.
- Experience with iOS and Android testing environments.
- Strong communication skills and ability to work in a fast-paced development environment.
- Experience with Agile/Scrum SDLC using JIRA and Confluence.
Nice to have
- At least 3 years of experience testing applications across iOS, Android, and Web.
- Experience with API testing.
- Experience in environments with weekly production releases.
- Scripting skills.
Culture & Benefits
- Opportunity to shape real-world AI-driven projects across various industries.
- Collaboration within a global team across different continents and cultures.
- Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards.
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