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# Cloud Infrastructure Engineer

- **Company:** Rapinno Tech Inc
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Cloud Computing, Continuous Delivery, Continuous Integration, Distributed Systems, Monitoring of Systems, Linux Kernel, OpenShift, Prometheus, Software Engineering, Software Requirements Analysis, Cloud Platform System, Grafana, Gitlab-ci, Kubernetes, New Relic (SaaS), Docker
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/cloud-infrastructure-engineer-or--529959ef-2604-4e7f-88c1-a70ea11f60fb

## About the Role

Software Engineering, Cloud Computing, Amazon Web Services (AWS), Cloud Computing, Ecosystems, Problem Solving Skills, On Call, Docker, Continuous Integration, Continuous Deployment/Delivery, Five or more years of experience with deployment and orchestration technologies (such as Docker, Kubernetes, EKS, Openshift,)
Three years or more of continuous integration and continuous delivery experience
Working knowledge of cloud computing including virtualization, hosted services, multi-tenant cloud infrastructures
Experience architecting and developing software or infrastructure for scalable, distributed systems
Experience creating and maintaining Gitlab CI pipelines
Experience with the Linux kernel
Knowledge of APIs design and implementation.
Knowledge of Monitoring tools: New Relic and or Prometheus/Grafana.

## Description

You will be responsible for implementing/integrating our Cloud and Commercial kubernetes distributions into Verizon's ecosystem.
Translate application requirements into system requirements that can then be used to design and implement the operating environment for applications to run in a Kubernetes CaaS platform.
Evaluate legacy application design and recommend fundamental application redesign changes required to function in a Kubernetes CaaS platform.
Lead problem resolution for business impacting failures and drive the resolution to meet platform service level objectives. This includes assembling resources from existing team members and engaging other engineering resources from peer teams in order to restore service disruptions.
Understand architecting and engineering large enterprise solutions to achieve cost efficiencies, scaling, and availability for a large enterprise environment.
Share support and on call responsibilities with core team members