Observability Jobs in Michigan (NOW HIRING)

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.

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 experience operating 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 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 builder...or 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 Year's 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