Senior Automation Test Engineer, Web

Responsibilities

• Build and scale Android automation framework from scratch using Kotlin and Espresso
• Maintain and expand iOS automation suite using XCUITest and Swift
• Define and drive mobile automation strategy and best practices
• Improve test coverage, reliability and execution speed
• Integrate automation into CI/CD pipelines to enable faster and safer releases
• Partner with engineering, product and QA teams to deliver high-quality user experiences
• Identify gaps in testing and proactively improve quality processes
• Debug and resolve flaky tests and automation failures at scale
• Evaluate tools and introduce new automation innovations (AI, intelligent testing)

Requirements

• 5+ years of experience as an SDET or Software Engineer in mobile (Android-focused) environments
• Experience building scalable Android automation frameworks from scratch
• Strong experience with Espresso and/or UIAutomator using Kotlin
• Experience writing, executing and maintaining automated test suites
• Experience building reusable test frameworks, tools and utilities
• Experience with unit, integration and end-to-end testing of Android applications
• Experience testing complex user workflows and edge cases
• Experience supporting automation for large-scale mobile applications
• Preferred experience with Jetpack Compose testing
• Nice to have experience with real-time / streaming applications
• Nice to have cross-platform exposure (iOS – XCUITest)
• Strong understanding of Android architecture (MVVM, Jetpack, lifecycle)
• Understanding of mobile app performance, reliability and edge cases
• Experience with CI/CD pipelines (Jenkins, GitHub Actions or similar)
• Experience integrating automation into release workflows
• Experience debugging flaky tests and improving stability
• Familiarity with device farms (Firebase Test Lab, AWS Device Farm, Sauce Labs)
• Understanding of QA methodologies for mobile releases
• Strong problem-solving and debugging skills
• Ownership mindset with end-to-end quality responsibility
• Ability to collaborate across engineering, product and manual QA teams
• Strong verbal and written communication skills
• Nice to have experience testing AI/ML-based features

Bonus Points

• Debugging flaky tests at scale
• API + backend validation for mobile flows
• Performance testing basics
• Experience with AI-driven test optimization

Compensation

Salary Range: $140,000 to $175,000 USD per year.