Senior Cloud Infrastructure Engineer, Connected Vehicle Division

Ford • Dearborn, MI

3d • Hybrid

About The Position

Ford’s Electric Vehicles, Digital and Design (EVDD) team is focused on delivering a fully electric transportation future. This agile team is customer-obsessed, entrepreneurial, and data-driven, aiming to provide an industry-leading customer experience for electric vehicle buyers and owners. The role is within the End-to-End Software Diagnostics & Observability initiative, which is transforming how vehicle issues are understood across engineering, diagnostics, and service workflows by overhauling global legacy systems to build a state-of-the-art platform. This platform acts as the 'nervous system' for next-generation vehicles, integrating telemetry, cloud data lakes, and AI reasoning engines to proactively resolve issues before they impact customers. The Senior Cloud Infrastructure Engineer will architect and scale the cloud infrastructure foundation for this platform, influencing modernization and automation, and utilizing GCP in an enterprise environment with a high degree of autonomy.

Requirements

• Minimum BS or equivalent degree completed in Computer Science, Systems Engineering, Electrical Engineering, or a related technical field.
• 5+ or more years of experience designing, deploying, and supporting production workloads within GCP (or comparable) cloud enterprise environments including infrastructure automation, deployment strategy, and operational excellence initiatives.
• 5+ years demonstrating proficiency in GCP core services including GKE, Cloud Run, Vertex AI, GCS, Artifact Registry, Pub/Sub, Cloud Build, IAM, VPC, and Private Service Connect.
• 5+ years of experience implementing infrastructure-as-code standards using Terraform including development of reusable modules and scalable deployment standards across multi-environment enterprise platforms.
• 5+ years of work experience operating secure, highly available cloud platforms within shared enterprise environments including governance, networking, IAM, and centralized operational controls.
• 5+ or more years of experience operating within regulated, shared infrastructure regulated environments including VPC architectures, centralized billing, governance controls, and organizational policy constraints.
• 5+ years in roles leading automation initiatives and governing cloud infrastructure provisioning standards across large-scale enterprise environments.
• 5+ years hands-on experience with container security practices including image scanning, SBOM analysis, and supply chain risk management having shaped infrastructure standards, deployment strategy, and operational excellence outcomes.
• 5+ years’ experience configuring GCP monitoring and observability pipelines, with familiarity with Dynatrace or Grafana integration.
• 5+ years’ experience in roles where strong understanding of GCP IAM, including workload identity federation, service account management, and least-privilege access patterns are expected.

Nice To Haves

• Enterprise Cloud Governance experience managing GCP environments in regulated industries such as automotive, healthcare, or financial services.
• Familiarity with GCP Vertex AI platform administration including model registry management and Vertex AI Workbench.
• Exposure to Kafka or OpenTelemetry-based observability architectures.

Responsibilities

• Provision and configure the TOP platform's GCP project space within Ford's enterprise GCP organization, including project structure, networking, IAM policies, service accounts, and VPC configuration.
• Design and maintain development, staging, and production environment separation within Ford's GCP, ensuring clean promotion gates between environments.
• Own infrastructure as code for the TOP platform using Terraform, maintaining version-controlled infrastructure definitions in Ford's GitHub organization.
• Manage the container runtime environment for externally delivered Docker images, including GKE or Cloud Run configuration, container security scanning, and image promotion workflows.
• Enforce the model weight storage architecture defined in Ford's vendor SOW: verify that fine-tuned model artifacts are stored in Ford's Vertex AI Model Registry or Google Cloud Storage (GCS) buckets, not embedded in container images.
• Review Software Bills of Materials (SBOMs) delivered with each container image version, flagging unapproved components to Ford's security team.
• Configure and maintain GCP networking for the TOP platform including Private Service Connect, VPC peering, and any hybrid connectivity requirements.
• Implement and maintain GCP logging, monitoring, and alerting pipelines using Cloud Logging, Cloud Monitoring, and integration with Dynatrace.
• Manage Artifact Registry for container image versioning and access control.
• Support the on-premises to cloud migration engineer in defining cloud landing zones and connectivity patterns for legacy system integrations.
• Participate in Ford's central GCP governance processes, representing the TOP team's platform requirements and ensuring compliance with Ford's enterprise cloud standards.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior