Open Shift / Cloud Engineer Engineer

Open Shift / Cloud Engineer

Dallas, TX Hybrid

OpenShift / Cloud Engineer

Job Description

The OpenShift / Cloud Engineer is responsible for engineering, support, automation, and thought leadership for Platform-as-a-Service (PaaS) offerings. Responsibilities include supporting application migrations to PaaS, automation, and enabling modernization activities.

Required Skills and Experience

5+ years' experience administering Red Hat OpenShift on VMs, Bare Metal, and ROSA

Expertise with OpenShift Container Platform v4.15 through latest stable versions

Experience with OpenShift Data Foundation / OpenShift Platform Plus

Ceph Administration knowledge

Cloud Administration experience (AWS, Azure and / or IBM Cloud)

Extensive knowledge of Linux Containers (Docker), Kubernetes, and containerized application / microservices deployment architectures

Working knowledge of Java, JBoss, nginx, Node.js, and enterprise application architectures

Experience migrating and refactoring applications to containerized workloads

Demonstrated skill in configuration management / scripting technologies (at least one)

Experience with automated deployment tools

Deep understanding of DevOps concepts, tools, and practices

Hands-on experience with CI / CD tools (GitLab, Jenkins, Chef, Ansible Automation Platform, Terraform, or comparable)

Strong analytic skills and ability to multi-task across projects

Outstanding communication skills for conveying complex technical issues via written, oral, or digital products

Working knowledge of networking (protocols, firewalls, load balancers, etc.)

Willingness to document, share knowledge, and train other team members

Preferred Qualifications

Experience with VMware technologies (vCenter, vRA, vRO)

OpenShift on bare metal and ROSA experience

Azure experience

SSL certificate management knowledge

Experience with Agile teams, tools, and practices (kanban, stand-ups, sprints, etc.)

Proven knowledge of industry standards and emerging technologies

Experience with monitoring and logging at container or pod level (Dynatrace, QRadar)