Senior Cloud Infrastructure Engineer, Connected Vehicle Division

Why Join EVDD

FordsElectric Vehicles Digital and Design (EVDD)team is charged with delivering the companys 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. Youll 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 Fords 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-artEnd-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 Fords 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 diagnosticstoproactive observability.

The Role: As theSenior Cloud Infrastructure Engineer Connected Vehicle Division. You will be part of a team charged with building the operational intelligence for theState-of-The-ArtAI-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. Youll 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 Divisionposition you will architect and scale the cloud infrastructure foundation powering Fords 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 youll do...

• Influence Cloud Infrastructure Standards and Platform Engineering Best Practices:
  • Provision and configure the TOP platforms GCP project space within Fords 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 Fords GCP ensuring clean promotion gates between environments
  • Own infrastructure as code for the TOP platform using Terraform maintaining version-controlled infrastructure definitions in Fords 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 Fords vendor SOW (Statement of Work): verify that fine-tuned model artifacts are stored in Fords 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 Fords 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 Fords central GCP governance processes representing the TOP teams platform requirements and ensuring compliance with Fords enterprise cloud standards

Youll have...

• Academic Foundation:MinimumBS 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 cloud infrastructure provisioning standards across large-scale enterprise environments
• Shaping Infrastructure Standards and Operational Excellence: 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
• Building Monitoring Logging and Observability Solutions: 5 years experience configuring GCP monitoring and observability pipelines with familiarity with Dynatrace or Grafana integration
• Enterprise Governance Security and Compliance Frameworks: 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
  

Even better you may have...

• Enterprise Cloud Governance experience managing GCP environments in regulated industries such as automotive healthcare or financial services
• AI Infrastructure Enablement familiarity with GCP Vertex AI platform administration including model registry management and Vertex AI Workbench
• Hybrid Connectivity and Observability Engineering exposure to Kafka or OpenTelemetry-based observability architectures

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:

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 Years Day
Paid time off and the option to purchase additional vacation time.

This position is a salary grade 8 and ranges from $115000-$192900.
Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.

For more information on salary and benefits click here: sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

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