Carreiras na Infosys Explorar oportunidades Empregos no Australia Enterprise Test Automation Architect

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Detalhes do trabalho

Função do cargo

Consultant


Local de trabalho

Brisbane


Estado/Região/Província

Queensland


País

Australia


Domínio

Delivery


Grupo de interesse

Infosys Limited


Empresa

Infy Australia


ID da requisição

155946BR



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 :

  • Define and own the enterprise Quality Engineering transformation roadmap, including automation, AI adoption, DevOps integration, and quality governance.
  • Establish enterprise-wide automation architecture, standards, reusable frameworks, best practices, and governance models across programs.
  • Design scalable automation solutions for UI, API, database, integration, ServiceNow, cloud, mobile, and enterprise applications.
  • Drive AI-powered Quality Engineering initiatives, including AI-assisted test design, test asset generation, intelligent test optimisation, defect triaging, impact analysis, and predictive quality insights.
  • Lead DevOps and continuous testing integration across Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, and other pipeline platforms.
  • Define quality gates, release validation mechanisms, observability practices, engineering metrics, and executive quality dashboards.
  • Assess, recommend, and standardise tools and technologies across the testing lifecycle to improve efficiency, scalability, and maintainability.
  • Collaborate with Test Data Management and Test Environment Management teams to integrate automation, TDM, and environment readiness into the continuous testing journey.
  • Lead architecture reviews, automation maturity assessments, governance forums, and engineering design reviews.
  • Mentor automation architects and engineering teams while driving innovation pilots, ROI tracking, and enterprise-wide adoption of successful AI and automation solutions.

Additional 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.
Strong stakeholder management, leadership, communication, executive presentation, and team mentoring skills.

At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on Infosys_ta@infosys.com or include your preferred method of communication in email and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

Infosys is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability

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