About US:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Location: Australia , Brisbane.

Salary: AUD 127,971-141,157 Annual Gross.

Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes.

Key Responsibility :

• 12+ years of experience in Quality Engineering, Test Automation Architecture, DevOps transformation, and enterprise testing governance.
• Extensive experience designing and implementing enterprise-scale automation frameworks across UI, API, database, cloud, mobile, and integration testing.
• Strong hands-on expertise in automation tools and technologies such as Playwright, REST Assured, Postman, Karate, ReadyAPI, SOAP UI, and BDD frameworks.
• Strong programming and scripting experience using Java, Python, TypeScript, JavaScript, TestNG, JUnit, Cucumber, or similar technologies.
• Experience in data testing, including SQL/NoSQL validation, ETL testing, backend data verification, data reconciliation, and database automation.
• Hands-on experience integrating automated testing into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, Bitbucket Pipelines, Docker, or Kubernetes.
• Experience implementing AI-powered Quality Engineering solutions, including GenAI-assisted testing, self-healing automation, test generation, impact analysis, and predictive quality analytics.
• Strong understanding of observability, monitoring, engineering metrics, quality dashboards, ROI tracking, and automation coverage measurement.
• Experience leading large-scale transformation programs, Automation COE/TCOE initiatives, architecture governance, and enterprise tool standardisation.