Platform Engineering Architect

Ford Motor Company

. Own and manage the architecture of Internal Developer Platforms (IDPs) and Agentic Developer Platforms (ADPs) .

Posted 10/16/2026full-timeDearborn • Michigan • United StatesSeniorLead💰 $115,500 - $218,100 per yearWebsite

Tech Stack

Tools & technologies

AnsibleCassandraCloudDockerGoogle Cloud PlatformHBaseJenkinsKafkaKubernetesMicroservicesMongoDBNoSQLOpenShiftPackerRabbitMQShell ScriptingSparkSpringSpring BootSpringBootTerraform

About the role

Key responsibilities & impact

Own and manage the architecture of Internal Developer Platforms (IDPs) and Agentic Developer Platforms (ADPs)
Define and evolve infrastructure architecture for next-generation platforms
Research emerging technologies and recommend solutions for future workload needs
Evaluate and select technologies supporting product development and deployment on the eCommerce foundation layer
Partner with product teams to improve Developer Experience through platform engineering
Translate business and developer needs into technical and non-functional specifications
Collaborate with Enterprise Architecture and IT Operations leaders to improve the eCommerce platform
Champion platform engineering and observability practices
Design, develop, and maintain secure, scalable cloud infrastructure platforms
Provision and automate Google Cloud infrastructure
Build and maintain infrastructure automation with Terraform, Packer, Ansible, shell scripting, NX Cloud, Helm, and Argo CD
Conduct Infrastructure as Code reviews and automate cloud infrastructure deployment
Build DevSecOps automation and integrated CI/CD and infrastructure provisioning services
Establish code quality, security, performance, and scalability practices
Apply patch management, security controls, and operational practices
Develop and maintain self-service platform products for CI/CD, Infrastructure as Code, cloud services, and observability
Apply cloud-native architectures including microservices, micro frontends, APIs, serverless, Kubernetes, and Docker
Implement and monitor AI agents for platform engineering automation
Support Model Context Protocol and Agentic AI capabilities
Apply AIOps practices to improve platform automation and Developer Experience
Advance Shift Left and Shift Right engineering practices
Design and apply auto-scaling, high availability, disaster recovery, and multi-region architectures
Create architecture diagrams, design documents, and operational procedures
Monitor platform health and support incident diagnosis using observability and application performance tools
Troubleshoot performance issues involving CPU, memory, resource hotspots, API latency, and platform health
Identify infrastructure vulnerabilities and performance bottlenecks
Apply Cloud FinOps practices to optimize infrastructure consumption costs
Provide hands-on technical leadership and mentor engineers
Partner with cloud, security, SRE, release management, and other technical experts
Facilitate technical discussions and help teams reach decisions
Communicate architecture decisions, risks, tradeoffs, and recommendations to technical teams and executive leaders
Work with global teams in remote and virtual environments and lead through technical and organizational change

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related discipline—or equivalent relevant experience
15+ years of relevant professional experience
Experience designing, developing, and maintaining self-service platform products for CI/CD, Infrastructure as Code, cloud services, and observability
Experience with cloud-native systems, platform engineering, DevSecOps, and public cloud environments, particularly Google Cloud Platform
Experience building scalable, reliable, and highly available solutions, including containerized and multi-tenant systems
Experience with performance testing, platform monitoring, and troubleshooting complex infrastructure and application issues
Experience deploying, evaluating, and monitoring AI agents for platform engineering automation
Experience collaborating with technical leaders and teams across cloud, security, SRE, release management, and software engineering
Strong communication and interpersonal skills, including the ability to engage executive leaders and facilitate decisions across teams
Ability to work effectively with global teams, lead through change, and provide technical mentorship
Strong experience with platform engineering and self-service capabilities for CI/CD, Infrastructure as Code, cloud provisioning, and observability
Experience with GCP services including Compute Engine, Cloud Run, GKE, Cloud Operations suite, Anthos, Pub/Sub, Dataflow, Cloud Scheduler, Bigtable, and AlloyDB
Experience provisioning Google Cloud infrastructure, including VPCs, subnets, gateways, security groups, managed services, and Kubernetes clusters
Expertise in Terraform, Packer, Ansible, shell scripting, NX Cloud, Helm, and Argo CD
Experience with Tekton, GitHub Actions, and Jenkins
Experience with Docker, Kubernetes, GKE, and Red Hat OpenShift
Experience with application and infrastructure security tools including SonarQube, Cycode, 42Crunch, Astra, container vulnerability scanning, and FOSSA
Knowledge of microservices frameworks such as Spring Boot, Micronaut, Ratpack, or Quarkus
Experience with cloud-native architectures, micro frontends, event-driven systems, APIs, Domain-Driven Design, and serverless technologies
Working knowledge of multiple programming languages, multithreading, concurrency, and parallel processing
Experience with REST APIs, Kafka, RabbitMQ, cloud Pub/Sub, Spark, or Storm
Experience with relational and NoSQL databases including Cassandra, HBase, MongoDB, or Memcached
Ability to analyze logs, network statistics, kernel data, and APM metrics
Visa sponsorship is not provided
Must be legally authorized to work in the United States

Benefits

Comp & perks

Immediate medical, dental, and prescription drug coverage
Flexible family care
Parental leave
New parent ramp-up programs
Subsidized back-up child care
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time