Ford Motor Company
Linkedin · Posted 19d ago
Senior OpenShift (OCP) Engineer – Platform Engineering & GitOps
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Indexed description
DescriptionJoin a team building an enterprise-grade private cloud platform from the ground up. This role focuses on developing and scaling OpenShift (Kubernetes-based platform), automation frameworks, and cloud-native tooling. You will work on platform engineering, infrastructure automation, and developer enablement while applying software engineering best practices.
Responsibilities
- Design, build, and maintain OpenShift (Kubernetes) platform for on-premise and hybrid environments
- Develop and manage infrastructure automation using Go, Python, and Ansible
- Build and maintain Kubernetes Operators and APIs to enable self-service capabilities
- Implement GitOps-based deployment pipelines using tools like Argo CD and Tekton
- Enhance platform reliability through monitoring, alerting, and automated recovery mechanisms
- Develop observability solutions using Prometheus, Grafana, and logging platforms
- Support containerized and virtualized workloads using OpenShift Virtualization
- Collaborate with architects and application teams to improve platform usability
- Mentor team members and promote best practices in coding and platform engineering
- 6–10 years of experience in platform engineering, DevOps, or cloud infrastructure
- Strong hands-on experience with:
- Kubernetes and OpenShift (OCP – OpenShift Container Platform)
- At least one programming language (Go or Python preferred)
- CI/CD and GitOps tools (e.g., GitHub, Argo CD, Tekton)
- Experience with infrastructure automation (Infrastructure as Code – IaC)
- Understanding of distributed systems, microservices, and cloud-native design
- Experience with:
- Kubernetes Operators and custom controllers
- Service mesh (e.g., Istio)
- Observability tools (Prometheus, Grafana, ELK, Dynatrace, etc.)
- Storage solutions (Ceph, OpenShift Data Foundation – ODF)
- Secrets management (e.g., HashiCorp Vault)
- Exposure to hybrid cloud or private cloud environments
- Familiarity with AI/ML integration in cloud platforms (optional)
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