DevOps Enablement Engineer

Ford Motor Company

. Build and operate Ford’s cloud-native software development lifecycle platform .

Posted 10/9/2026full-timeDearborn • Michigan • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating cloud-native software development platforms, with strong capabilities in GCP infrastructure management, CI/CD pipeline automation, and API design and integration. Proficient in leveraging AI-assisted tools and practices to enhance developer experience and operational efficiency.

Highest-signal resume keywords

GCP Infrastructure ManagementTerraform Infrastructure-as-CodeCI/CD Pipeline AutomationAPI Design and IntegrationGitOps Tooling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingGo ProgrammingYAML AuthoringGit and GitHub WorkflowBash/Shell ScriptingKubernetes ManagementDocker ContainerizationSonarQube IntegrationBigQuery and Looker StudioAI/ML Product Development

Soft Skills

CollaborationMentoringContinuous Improvement

Tools & Technologies

GKEGitHub ActionsJenkinsApigeeConfig SyncArgoCDFluxAI-Assisted Development Tools

Certifications & Qualifications

Bachelor’s or Master’s Degree in Computer ScienceSoftware Engineering

Industry Keywords

DevOpsPlatform EngineeringCloud-Native DevelopmentObservabilitySecurity and Compliance

Tech Stack

Tools & technologies

BigQueryCloudDockerFluxGoogle Cloud PlatformJavaJenkinsKubernetesPythonSpringSpring BootSpringBootTerraformGo

About the role

Key responsibilities & impact

Build and operate Ford’s cloud-native software development lifecycle platform
Provision and manage GCP infrastructure, including GKE clusters, VMs, storage buckets, networking, and related services, using Terraform
Deploy GitHub Actions Runner Controller and other workloads onto GKE using Config Sync and GitOps practices
Write and maintain YAML for pipeline definitions, Kubernetes manifests, and GitOps configurations
Use Git and GitHub Enterprise for branching, pull request workflows, and repository management
Automate infrastructure, self-service pipelines, and operational remediation
Design, develop, and optimize GitHub Actions workflows and Jenkins pipelines for packaging, testing, and deployment
Support workflows building and deploying Java Spring Boot, Go, and Python applications
Design, develop, and secure backend APIs and integrations using Java, Go, or Python
Integrate APIs with Apigee using OAuth2 and JWT
Build, secure, and operate Docker or Podman containers on Kubernetes/GKE
Diagnose and resolve production cluster issues, including crash loops, resource contention, networking edge cases, and noisy-neighbor problems
Engineer SLOs, monitoring, alerting, incident response, and observability dashboards using BigQuery and Looker Studio
Embed security and compliance through secrets management, least privilege, supply-chain hygiene, and SonarQube quality and security gates
Use AI agents to draft infrastructure-as-code, generate tests, triage incidents, and summarize operational signals
Build integrations and utilities embedding AI-assisted tools into Ford’s engineering workflows
Lead prompt design and LLM orchestration for automated code, template, and technical-content generation
Support production LLM and agentic infrastructure
Collaborate with engineering, security, and product stakeholders to improve developer experience
Identify and drive improvements to platform reliability, security, and developer velocity
Practice TDD, pair programming, continuous integration, and Agile ceremonies
Serve as senior technical escalation point for global engineering teams and mentor junior engineers

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely related technical field
8 years of hands-on DevOps/Platform Engineering experience
Strong programming ability in Python and/or Go, 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, including 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, including GKE and ideally Cloud Run, Compute Engine, Cloud Functions, networking, and 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 with Docker or Podman and operating them at scale on Kubernetes
Experience with GitOps tooling such as Config Sync, ArgoCD, or Flux
Experience integrating and configuring SonarQube or equivalent in CI/CD pipelines
API design and integration experience, including RESTful services and API gateway management with Apigee, OAuth2, and JWT
Hands-on experience with GCP BigQuery and Data Studio/Looker Studio
Observability experience with metrics, logs, and tracing
Knowledge and hands-on experience designing, developing, and implementing AI/ML products
Fluency in AI-assisted development tools and agent workflows
Working knowledge of SLOs, incident response, and security-by-default pipeline design
Ability to balance developer experience with security and compliance requirements
Demonstrated ability to identify process gaps and drive continuous improvement initiatives
Bonus: experience running LLM/agentic systems, GPUs, or model-serving infrastructure in production

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement