To be successful in this role you have:
· Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Hands-on experience with prompt engineering: ability to craft, test, and optimize prompts for task accuracy and efficiency.
· 9+ years professional experience in quality assurance or application development and in leading quality efforts within a scrum team of 4-6 QE engineers
· Experience in Java programming with Selenium, JUnit and TestNG, JavaScript.
· Experience with Windsurf(or similar IDE), Jenkins, Maven, Gradle and Git
· Experience with different testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect
· Advanced working knowledge and ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with daily tasks
· Experience driving cross-team technical discussions with an understanding of SDLC concepts
Highly Desirable:
- Software Quality Engineering experience, with deep expertise in Java /Javascript/Seleniumand modern enterprise application design.
- Experience with Enterprise Applications Data Model such as Oracle, Salesforce, SAP, or other ERP/CRM systems.
- Proven track record in building data pipelines, Analytical content including metrics , KPIs and Dashboards
- Familiarity with ETL/ELT processes, data modeling, and orchestration frameworks (e.g., Apache Airflow, Kafka, MuleSoft).
- Understanding of analytics tools and data visualization platforms (e.g., Tableau, Looker, Power BI) and how they integrate into workflow solutions.
- Experience working with ServiceNow or similar workflow platforms (preferred).