What Youโll Do
- ย As a Cloud Technical support Intern you will work alongside experienced consultants and developers to support software implementation projects for global insurance clients.
- This internship provides hands-on experience in enterprise software development, and agile project delivery. ย
- At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AIโempowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes
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Intern Requirements
- Final year of study in a bachelorโs or masterโs degree studying Computer Science or equivalent I.T course.
- The internship follows a hybrid work model, with two days per week onsite at our Guidewire Bangsar, Kuala Lumpur Office.
- Willingness to participate in Guidewire Basecamp Internship program activities and events.
- Good communication skills and presentation skills. Read, write, and speak fluent English.
- Familiarity with software development lifecycle.
- Exposure to broad technical skills such as Object-Oriented Programming (Java, C#, or similar), relational databases, XML, and cloud architecture.
- Strong troubleshooting skills, ability to think critically and display an aptitude for problem--solving.
- Ability to solve problem software code and reporting progress.
- Familiarity with version-control processes and standards. Experience using git or similar change-tracking software.
- Experience using a software defect tracking system such as JIRA.
- Skills to read and interpret application server log files.
- Familiar with AWS, Docker, Linux, and Kubernetes. Knowledge of Bash scripts is a plus.
- Familiar with CI/CD concepts and principles; Jenkins or TeamCity experience is a plus.
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What Makes You a Great Fit
Youโll thrive at Guidewire if you embody our core values:
- Collegiality: We work together as equals, value diverse opinions, and support one another.
- Integrity: We act with honesty and transparency in everything we do.
- Rationality: We favor thoughtful, data-driven decisions over assumptions.
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