Automation QA Engineer | Senior | Saily | Apps

At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment.

To build the best product for our customers we foster AI-native Product Engineering culture, where:

• The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production)
• AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact
• Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes
• Curiosity, learning and sharing are everyone's responsibility
• Customer, having a comfortable, connected, hassle-free journey is never lost from the focus

We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work.

• 5+ years of experience in automated tests writing for web or mobile applications
• Experience in writing automated tests for REST API
• Experience working with Git and Docker
• Knowledge of Agile/DevOps best practices
• Experience working with JavaScript/TypeScript
• Experience working with one of the following automation frameworks: Jasmine, Jest, Mocha + Chai, Cypress
• Passion for breaking things
• Sharp-eyed with attention to details
• Good written and spoken English skills

• Design test automation frameworks (multi-platform) and write automated tests to conduct complex functional integration, regression, and performance tests to confirm that the acceptance criteria have been met
• Contribute to identifying testing strategies and drive their implementation
• Participate in writing test plans and test cases
• Report software defects and work with development team to resolve them
• Perform hands-on exploratory and manual testing to uncover edge cases and usability issues that automated tests may miss
• Validate complex user flows end-to-end across mobile and other platforms before major releases

AI Adoption & Evangelism

• Actively explore and integrate AI-powered tools into QA workflows to accelerate test creation, expand coverage, and reduce cycle times
• Champion the adoption of AI-assisted testing practices across the engineering organization
• Experiment with LLMs and AI assistants for generating test data, writing test cases from requirements, and triaging flaky tests
• Training and mentoring less senior team members in test automation would be very welcome.

Candidates must provide accurate and complete information during recruitment. Limited use of AI tools to refine application materials is acceptable but candidates remain responsible for their submissions. Applications may be processed using automated tools for evaluation purposes, supporting but not replacing human decision-making. Candidates can opt out of automated evaluation by submitting applications directly via email.