DevOps Enablement Engineer

Job summary

Build and operate a cloud-native developer platform for the Software Development Lifecycle, enabling engineering teams to deliver software reliably through infrastructure, automation, and developer tooling. The work spans GCP and Azure infrastructure managed with Terraform, GKE and GitOps, GitHub Actions and Jenkins pipelines, production APIs and containers, reliability and security, and AI-assisted engineering workflows.

Qualifications

• 8 years of Hands-on DevOps/Platform Engineering experience
• Strong programming ability in a real language — Python and/or Go preferred — with a track record of shipping production code
• Proficiency authoring YAML for CI/CD pipelines, Kubernetes manifests, and configuration-as-code
• Strong Git and GitHub workflow experience — branching strategies, pull requests, and repository management at scale
• Solid scripting ability in Bash/Shell/python for automation and operational tooling
• Deep, hands-on GCP experience (GKE, and ideally Cloud Run, Compute Engine, Cloud Functions, networking, IAM) at production scale
• Strong Infrastructure-as-Code experience with Terraform
• Hands-on CI/CD pipeline experience with GitHub Actions and/or Jenkins
• Production experience containerizing applications (Docker or Podman) and operating them at scale on Kubernetes
• Experience with GitOps tooling (e.g., Config Sync, ArgoCD, or Flux)
• API design and integration experience, including RESTful services and API gateway management (Apigee, OAuth2, JWT)
• Hands-on experience with GCP BigQuery and Data Studio/Looker Studio for building observability and reporting dashboards
• Working knowledge of SLOs, incident response, and security-by-default pipeline design
• A customer-focused mindset — able to balance developer experience with security and compliance requirements

Responsibilities

• Use Terraform to provision and manage GCP infrastructure
• Write and maintain YAML for pipeline definitions, Kubernetes manifests, and GitOps configs
• Design, develop, and optimize robust, automated GitHub Actions workflows and Jenkins pipelines
• Design, develop, and secure backend APIs and integrations using Java (Spring Boot), Go, or Python
• Build, secure, and operate container images with Docker and/or Podman, and run them at scale on Kubernetes (GKE)
• Leverage GCP BigQuery and Data Studio (Looker Studio) to build observability and platform-health dashboards
• Drive SonarQube integration across CI/CD pipelines
• Use AI to draft IaC, generate tests, triage incidents, and summarize signal from noise
• Develop automated workflows to generate code, templates, and high-quality technical content across Ford's primary stacks
• Serve as the senior technical escalation point for global engineering teams
• Mentor junior engineers in AI-assisted development and CI/CD best practices

Skills

Degrees

Languages

Industry

Relocation