Senior Automation AI-Augmented QA Engineer

Overview

CBTW is a global independent tech consultancy group. With a team of more than 3,000 talented tech specialists on the ground in over 35 cities across Europe, the USA, Asia, Australia and Africa, we serve clients of all sizes. We believe collaboration betters our world. Our unique open ecosystem model allows us to deliver end-to-end tech solutions.

Responsibilities

• Design, develop, and maintain a scalable automation framework for native mobile applications (iOS & Android) using Appium, Java, TestNG, and Allure Reports.

• Automate end-to-end test scenarios for advanced mobile app capabilities, including smartwatch integration, geofencing, location tracking, SOS, and real-time device interactions.

• Build and execute API automation using RestAssured to validate backend, mobile, and device integration flows.

• Integrate automated testing with Xray (Jira) and Atlassian MCP servers to enable AI-assisted test management, traceability, and workflow automation.

• Execute and scale test automation on BrowserStack real devices for cross-device and cross-OS coverage.

• Utilize Playwright MCP and AI-enabled tooling to support cross-platform validation, test intelligence, and automation augmentation where applicable.

• Leverage GitHub Copilot AI throughout the automation lifecycle to accelerate framework development, scripting, refactoring, and maintenance.

• Embed automation into CI/CD pipelines, ensuring reliable execution, reporting, and fast feedback loops.

• Collaborate effectively with Australian-based teams in a fast-paced, agile delivery environment.

Qualifications

• Proven experience as a Senior Automation QA Engineer with strong focus on native mobile automation (iOS & Android).

• Hands-on expertise with Appium, Java, TestNG, RestAssured, Allure Reports, Xray, and BrowserStack (real devices).

• Experience designing automation frameworks from scratch for mobile and integrated systems.

• Working knowledge of MCP servers, including Atlassian MCP and Playwright MCP, to enable AI-driven QA workflows.

• Experience testing smart devices, wearables, location-based services, geofencing, and real-time event-driven systems.

• Practical experience using GitHub Copilot or AI-assisted coding tools to improve development velocity and test quality.

• Strong understanding of CI/CD, Git-based workflows, and modern QA best practices.

• Excellent English communication skills, with proven collaboration experience with Australian teams.

• Ability to start immediately, adapt quickly, and perform effectively in a high-velocity environment.

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