Hybrid Claims Lab Intern: Cloud-Native Java & JS

Great American Insurance Company

Cincinnati (OH)

Hybride

USD 25 000 - 39 000

Temps partiel

Il y a 6 jours
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Avantages offerts par ce poste

Tuition reimbursement
Parental leave
401(k) plan with company match
Commuter benefits

Résumé du poste

Great American Insurance Group's Claims IT team seeks a Claims Lab Developer Intern for summer 2027. The role blends in-office collaboration with remote work in a hybrid setting, with a requirement to be in the office at least three days a week.

You will support software development, testing, and documentation for cloud-native solutions. Ideal candidates are pursuing a degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related fields, with a 2028

Qualifications

  • Pursuing a degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related (preferred).
  • 2028 graduation year preferred.

Responsabilités

  • Work closely with development engineers throughout the software development lifecycle.
  • Create test cases for new code.
  • Document and test new software functionality.
  • Design and develop cloud-native software primarily in Java and JavaScript.
  • Help create front-end web applications and back-end services that are actively used.
  • Work with First Notice of Loss applications and externally facing APIs for reporting and uploading files.

Connaissances

Analytical skills
Problem solving
Learn new technologies quickly
Java
Java-script
REST APIs
MarkLogic
RabbitMQ

Formation

Computer Science / Computer Engineering / Information Systems / Information Technology (and related)

Description du poste

Great American Insurance Group's Claims IT team seeks a Claims Lab Developer Intern for summer 2027. The role blends in-office collaboration with remote work in a hybrid setting, with a requirement to be in the office at least three days a week.

You will support software development, testing, and documentation for cloud-native solutions. Ideal candidates are pursuing a degree in Computer Science, Computer Engineering, Information Systems, Information Technology, or related fields, with a 2028

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