Be part of the transformation of Ford Motor Company's infrastructure solutions to meet challenges of the next generation applications supporting internal business, mobile applications, and autonomous vehicle application hosting requirements.
This Kubernetes Platform Engineer position will design and provision infrastructure such as RedHat OpenShift and GKE supporting cloud native applications alongside a geographically distributed team. Emphasis will be on container strategies and ecosystem (Kubernetes) supporting Ford's rapidly increasing data and compute requirements. These environments will be both multi-cloud (GCP, Azure) and within our on-premise datacenters. We are seeking a motivated individual with a drive to be on the cutting edge while helping change the culture of IT towards a more nimble and iterative methodology.
Technical Skills Nice to Have:
• Experience with IT Automation products such as Terraform, Chef, etc.
• Experience with VMWare ESX and vCenter.
• Experience with network load balancers (SLB, GSLB).
Supervisory Skills Required:
• Work effectively in a team environment. Team leader capability desired.
• Pairing with team members occasionally required.
• Primary team is located locally with other individuals distributed globally.
• Ability to work with a variety of cross functional teams to support deployment to remote locations across the global.
• Must a self-starter, capable of working independently and within a team with minimum supervision.
• Must have good communication skills.
• (3+ years) Strong Linux knowledge on multiple platforms (RHEL, Ubuntu, SUSE).
• (1+ years) Experience in use of Kubernetes.
• (1+ years) Experience in use of container technologies.
• (3+ years) In-depth use of Cloud-based PaaS and IaaS. GCP and Azure experience preferred.
• (2+ years) Experience with GIT and CI/CD pipelines using Tekton, GitHub Actions, CloudBuild, and/or Jenkins.
• Experience using PaaS solutions such as Cloud Foundry.
• Demonstrable proficiency in at least one programming or scripting language. Go and/or Bourne Shell preferred.
• Demonstrated knowledge of RESTFUL API concepts and JSON formats.