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Remote (India)
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Ford is an American automaker founded in Dearborn in 1903 by Henry Ford, who introduced the moving assembly line and turned the car into a mass-market product. It is now organised into three businesses reported separately: Ford Blue for internal combustion vehicles, Model e for electric vehicles and software, and Ford Pro for commercial customers, which bundles vans and trucks with telematics, servicing and charging under multi-year contracts. Listed on the New York Stock Exchange and still partly controlled by the founding family through a special class of shares, its F-Series pickup has been the best selling vehicle in the United States for decades.
We are seeking an experienced Platform Engineer to help design, build, and evolve our enterprise private cloud platform. This role requires expertise in OpenShift and Kubernetes, infrastructure automation, GitOps practices, and software development.
You will contribute to platform capabilities through code-first approaches, building automation, APIs, Kubernetes operators, and self-service capabilities that improve the developer experience and platform scalability.
The ideal candidate combines strong platform engineering expertise with hands-on development skills in Go, Python, or another modern programming language and is passionate about engineering automation rather than manual operational processes.
- Design, build, and maintain enterprise OpenShift (Kubernetes) platforms across on-premises and hybrid environments.
- Develop infrastructure automation solutions using Go, Python, Ansible, and Infrastructure as Code (IaC) practices.
- Build and maintain Kubernetes Operators, APIs, and self-service platform capabilities.
- Implement and manage GitOps deployment workflows using tools such as Argo CD and Tekton.
- Develop integrations between OpenShift and enterprise platforms through APIs and automation frameworks.
- Improve platform reliability, scalability, and resilience through automated monitoring, alerting, and recovery mechanisms.
- Build observability solutions using Dynatrace, Prometheus, and centralized logging platforms.
- Support containerized and virtualized workloads using OpenShift Virtualization.
- Collaborate with architects, application teams, and platform stakeholders to enhance developer experience and platform adoption.
- Contribute to engineering standards, code quality, automation best practices, and technical mentoring.
Required
- 6-10 years of experience in Platform Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or Infrastructure Automation.
- Strong hands-on experience with OpenShift Container Platform (OCP) and Kubernetes.
- Experience designing, deploying, upgrading, and automating Kubernetes/OpenShift clusters.
- Proficiency in software development using Go or Python.
- Strong understanding of object-oriented programming principles and software engineering practices.
- Experience with GitOps methodologies and tools such as Argo CD.
- Experience with CI/CD platforms such as Tekton, GitHub Actions, Jenkins, or equivalent.
- Hands-on experience in API development and system integrations.
- Experience with Infrastructure as Code (IaC), YAML, and Ansible.
- Strong understanding of distributed systems, microservices, and cloud-native architectures.
Preferred
- Experience developing Kubernetes Operators.
- Experience with OpenShift Virtualization.
- Experience with observability platforms such as Dynatrace, Prometheus, Grafana, or ELK.
- Experience in private cloud or hybrid cloud environments.
- Experience enabling self-service platform capabilities for application teams.
- #LI-MF2
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