Mobile Test Engineer

Responsibilities:

Test Engineering will work closely with the respective stakeholders across the GTO organisation to drive testing transformation as aligned with GTO's overall strategy.

Reporting to the Test Engineering Lead, the candidate will be accountable for all matters related to mobile testing and device management. In addition, he/she will also provide support duty coverage for other testing tools such as Data Analytics, Reporting and Traceability.

The candidate is expected to fully support and comply with the organization's standards during his/her course of work.

.Accountable for managing the mobile testing standards, automation framework and hardware resources

.Provide technical support for mobile device related issues during SIT/UAT testing

.Work with test automation teams to setup/support mobile test automation framework, CICD pipelines etc

.Point of contact to work with vendors on mobile device farm related issues

.Work with local and regional teams on mobile device and device farm administration (ie device/user onboarding, tracking, offboarding)

.Monitor device and farm license usage Generate regular reports on demand, usage, incidents etc

.Ensure device tracker, mobile testing-related documentation is kept up to date

.Provide duty coverage and support for other testing tools such as Data Analytics, Reporting and Traceability

Requirements:

Education:

.Bachelors Degree in Computer Science or related field.

.At least 8-10 years relevant experience, preferably in a large Finance Institution.

Essential:

.Strong experience with mobile and web test automation

.Strong understanding of tools and device farms

.Experience in mobile device management (MDM) and use of mobile device farm

.Strong personal integrity and work ethic

.Attention to details, excellent analytical and problem-solving skills.

.Excellent client facing, internal communications, written and verbal communication skills.

Plus Points:

.Experience in working with regional teams in ASEAN useful

.Experience in Data Analytics, GenAI or Machine Learning is a plus

.Experience in working in multi-cultural, diverse, and remote virtual teams.

.Experience in Tosca is a plus

Key Domain/ Technical Skills:

.Java, Python, Javascript, SQL

.Jenkins, CI/CD, Git or BitBucket

.Appium, Selenium

.Mobile Device Farm technologies such as Perfecto

.Data Analytics technologies such as Anaconda