Infrastructure Engineer Intern
| Company | Ripple |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Internship |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Internship |
Requirements
- Experience in at least one programming language like Python, Java or Golang
- Excellent debugging, problem solving, and analytical skills
- Excellent interpersonal skills and communication with all levels of management.
- Foundational knowledge of DevOps tools and processes like Kubernetes, Docker, Terraform, Git, CI/CD, Infrastructure or Cloud (hands on experience is a plus).
- Currently enrolled in an undergraduate, graduate or PHd program, preferably in a computer science or related field.
- Coursework / previous intern experience with Observability tools such as Grafana, Kibana, Datadog or similar.
- Have contributed to projects involving AI-driven solutions, requiring a foundational understanding of AI concepts and a willingness to learn and apply them.
Responsibilities
- Work with your mentor, and overall Infrastructure Platform team to build tools, drive automation, streamline observability backends and instrumentation for reducing operational friction and increasing engineering efficiency.
- Architect, deploy, and maintain Ripple’s multi-region, multi-provider service platforms (with an emphasis on security, resiliency and observability)
- Create solutions for unique technical challenges faced by Ripple involving PKI, secret management, geographic failover, data replication, availability, and platform resiliency
- Participate in the leadership of DevOps-first principles within the organization
- Explore avenues to integrate AI in improving team processes, streamlining infrastructure and enhancing response to high impact events.
- Research promising new tools and technologies, push the team to experiment and evolve.
Preferred Qualifications
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No preferred qualifications provided.