Software Engineering Manager

Ford Ford · Auto · United States · Enterprise Technology

Seeking an experienced Software Engineering Manager to lead the Ford Container-as-a-Service (CaaS) platform, focusing on building, operating, and evolving secure, scalable, and automated Kubernetes infrastructure. The role involves leading the design and delivery of a unified, self-service Kubernetes platform for deploying and managing container clusters, fostering innovation, and optimizing operational excellence.

What you'd actually do

  1. Lead and inspire the Kubernetes Platform Services team focused on delivering secure, scalable, and automated container orchestration at Ford.
  2. Own the end-to-end design, deployment, and lifecycle management of Kubernetes clusters, ensuring seamless integration across Ford’s on-premise environments.
  3. Partner deeply with application developers, platform engineers, and infrastructure teams to understand needs and provide expert Kubernetes guidance and troubleshooting support.
  4. Stay abreast of cutting-edge Kubernetes developments and cloud-native best practices.
  5. Focus on developer/consumption experience as a first class citizen through simplification of environment provisioning and application deployment.

Skills

Required

  • 8+ years of overall Software Engineering / IT Experience
  • Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a closely related technical discipline.
  • Extensive Kubernetes Expertise
  • Cloud Platform Proficiency
  • Experience with Service Mesh Technologies
  • Strong Background in Monitoring & Observability Tools
  • Experience Leading Large-Large Scale Automation Initiatives
  • Infrastructure Automation and CI/CD
  • Security and Compliance
  • Strong Stakeholder Engagement

Nice to have

  • Google Cloud Platform
  • AWS
  • Azure
  • Istio
  • Linkerd
  • Prometheus
  • Grafana
  • Jaeger
  • Dynatrace
  • Datadog
  • ELK stack
  • Google Stackdriver
  • Terraform
  • Kustomize

What the JD emphasized

  • Extensive Kubernetes Expertise
  • Strong Background in Monitoring & Observability Tools
  • Experience Leading Large-Scale Automation Initiatives