Why Join EVDD?
Fords Electric 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-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? 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 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 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.
You''ll have...
Even better, you may have...
You may not check every box, or your experience may look a little different from what we''ve 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 $115,000-$192,900.
Final determination of salary grade will be based on candidate''s 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: https://fordcareers.co/GSR
Visa 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 status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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
#LI-KS4
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
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