Openshift / Kubernetes Engineer

Required Skills

• In-depth knowledge/experience with building and maintaining Red Hat OpenShift clusters (merely using OpenShift is insufficient)
• Experience with Kubernetes
• Experience with GCP cloud services, including GKE and Anthos
• Experience with Gitlab and especially Gitlab CI/CD
• ArgoCD
• Familiarity with service-mesh technologies: Istio, Linkerd, etc.
• Provide on-call support to NCBI's internal developers and other staff

Educational Requirements

• BS degree in a STEM field, or equivalent experience
• Customer-focused, team-oriented disposition
• Good systems debugging skills
• Comfortable with the Linux environment or UNIX CLI
• Experience with some programming or scripting language
• Have experience creating processes, procedures and SOP documentation
• General understanding of TCP/IP and related protocols
• Initiative to take ownership of tasks and drive them to completion
• Comfortable dealing with users with varying levels of IT knowledge
• Eager to learn new technologies
• Strong communication and soft skills to interface with customers, peers and management
• Good judgement, sense of integrity, and responsibility

Preferred Experience & Skill sets

• Kubernetes, OpenShift, Cloud or Linux experience
• Experience with:
  • Service Reliability Engineering in any capacity
  • Linux systems administration
  • Automated CI servers, especially TeamCity and/or GitLab
  • Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl
  • Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc. (Puppet is preferred)
  • Version control systems, especially git
  • Service Mesh technologies (e.g., linkerd, Istio)
  • Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
  • Confluence, Jira, and Microsoft Office suite
  • GitOps tools, especially ArgoCD
  • Google Anthos
• Understanding of:
  • Linux internals (system calls, file systems, processes, etc.)
  • Linux network configuration
  • Linux application containerization, especially Docker
  • Attached network storage technologies
  • Cloud computing environment such as AWS, GCP or Azure
  • Automated CI/CD pipelines
  • Distributed systems design principles