Why Join EVDD?
Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.
Modern vehicles are increasingly software-defined, connected, and intelligent. Delivering a best-in-class ownership and service experience now depends on Ford's ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately. That is why Ford is investing in an End-to-End Software Diagnostics & Observability initiative focused on transforming how vehicle issues are understood across engineering, diagnostics, and service workflows.
We are overhauling our global legacy systems to build a state-of-the-art End-to-End (E2E) Software Diagnostics & Observability platform . This is the "nervous system" for our next generation of vehicles; an intelligent pipeline that integrates embedded telemetry, cloud-based data lakes, and AI reasoning engines to resolve complex issues before they impact the customer. This platform helps engineering teams detect and resolve vehicle software issues with the precision and speed demanded by modern software-defined vehicles.
Do you want to help define the future of AI-enabled diagnostics for next-generation vehicles? Ford's team is a fast-paced, highly collaborative organization that translates advanced technical strategy into deployable capabilities. If you are passionate about AI/ML, complex systems, embedded software, and solving real-world engineering problems at scale, consider joining our forward-thinking team.
The Mission: Building the Nervous System of the SDV
At Ford Motor Company, we believe freedom of movement drives human progress. As vehicles become software-defined, intelligent, and connected, our ability to compete depends on a fundamental shift: moving from reactive diagnostics to proactive observability .
The Role: As the Senior Cloud Infrastructure Engineer, Connected Vehicle Division . You will be part of a team charged with building the operational intelligence for the State-of-The-Art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent reasoning to improve case quality, accelerate fault isolation, guide next-best actions, and support scalable human-in-the-loop escalation. This initiative sits at the intersection of software-defined vehicles, telemetry, cloud services, diagnostics, observability, and AI/ML engineering. We made history and now we work to transform the future; for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
In this position...
In the Senior Cloud Infrastructure Engineer, Connected Vehicle Division position, you will architect and scale the cloud infrastructure foundation powering Ford's next-generation Software Diagnostics & Observability platform. You will shape infrastructure modernization and automation initiatives as well as architect and use GCP in an enterprise environment with multiple user profiles with high level of autonomy and visibility.
This opportunity will design resilient, production-grade infrastructure automation frameworks and directly influence how next-generation connected vehicles detect, diagnose, and recover from software and electronics failures in production environments.
What you'll do...
Influence Cloud Infrastructure Standards and Platform Engineering Best Practices:
Provision and configure the TOP platform's GCP project space within Ford's enterprise GCP organization, including project structure, networking, IAM (Identity and Access Management) policies, service accounts, and VPC (Virtual Private Cloud) 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 (Google Kubernetes Engine) or Cloud Run configuration, container security scanning, and image promotion workflows
Enforce the model weight storage architecture defined in Ford's vendor SOW (Statement of Work): 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
Partner with Security, Networking, AI/ML, and Software Engineering Stakeholders to Balance Platform Scalability, Governance, and Developer Enablement:
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
Drive Technical Decision-Making and Operational Maturity Initiatives For Cloud Infrastructure Supporting Next-Generation Connected Vehicle Systems:
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
You'll have...
Academic Foundation: Minimum BS or equivalent degree completed in Computer Science, Systems Engineering, Electrical Engineering, or a related technical field
Enterprise Cloud Infrastructure Engineering : 5+ or more years of experience designing, deploying, and supporting production workloads within GCP (or comparable) cloud enterprise environments incuding infrastructure automation, deployment strategy, and operational excellence initiatives
Architect Infrastructure in Complex Systems Environment: 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
Designing and Automating Cloud Infrastructure Using Terraform : 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
Expertise Building Secure, Maintainable Cloud Platforms: 5+ years of work experience operating secure, highly available cloud platforms within shared enterprise environments including governance, networking, IAM, and centralized operational controls
Globally Distributed Production Environments: 5+ or more years of experienceoperating within regulated, shared infrastructure regulated environments including VPC architectures, centralized billing, governance controls, and organizational policy constraints
Leading Cloud Infrastructure Automation Strategy: 5+ years in roles leading automation initiatives and governing clou
