Platform Engineering Architect
$115.5k - $218.1kFord Motor
Description
At Ford we are the movers of the world and the makers of the future. We get up every day roll up our sleeves and build a better worldtogether. At Ford were all part of something bigger than ourselves. Are you ready to help change the way the world moves
Do you believe modern secure and scalable platforms can help teams build and deliver better software Fords Marketing and Sales Technology organization depends on reliable cloud infrastructure streamlined developer experiences and strong platform engineering to support its eCommerce foundation. Thats where this role makes an impact.
We are seeking an experienced Platform Engineering Architect to shape the architecture and evolution of Fords next-generation this individual-contributor role you will help own and manage the architecture of Internal Developer Platforms (IDPs) and Agentic Developer Platforms (ADPs) including self-service capabilities for CI/CD automation infrastructure provisioning and platform orchestration.
This role combines hands-on cloud and platform engineering with architecture leadership DevSecOps automation and technical mentorship. You will partner with product teams senior leaders Enterprise Architecture IT Operations security SRE and other technical domains to translate business and developer needs into secure scalable and highly available platform capabilities.
ResponsibilitiesPlatform Engineering Strategy & Architecture
- Own and manage the architecture of Internal Developer Platforms (IDPs) and Agentic Developer Platforms (ADPs) including self-service capabilities for CI/CD automation infrastructure provisioning and platform orchestration.
- Define and evolve the infrastructure architecture for next-generation platforms researching current and emerging technologies and recommending solutions for future workload needs.
- Evaluate and select technologies and tools that support product development and deployment on the eCommerce foundation layer.
- Partner with product teams to understand developer pain points and improve the Developer Experience through platform engineering capabilities.
- Collaborate with stakeholders to understand business needs and translate them into technical and non-functional specifications.
- Work with senior leaders across Fords Enterprise Architecture and IT Operations organizations to deliver measurable improvements to the eCommerce platform.
- Champion platform engineering and observability practices across the organization.
Cloud Infrastructure Automation & DevSecOps
- Design develop and maintain secure scalable cloud infrastructure platforms using modern DevSecOps and platform engineering practices.
- Provision and automate Google Cloud infrastructure including VPCs subnets gateways security groups managed services and Kubernetes clusters.
- Build and maintain infrastructure automation using tools such as Terraform Packer Ansible shell scripting NX Cloud Helm and Argo CD.
- Conduct Infrastructure as Code reviews and automate the deployment of cloud infrastructure.
- Build repeatable automation for DevSecOps tasks and improve software engineer productivity through integrated CI/CD and infrastructure provisioning services.
- Establish and apply best practices for code quality security performance and scalability using tools such as SonarQube Cycode 42Crunch Astra build-time container vulnerability scanning and FOSSA.
- Apply patch management security controls and operational practices that support platform reliability and maintainability.
Developer Platforms Cloud-Native Systems & AI
- Develop and maintain self-service platform products for CI/CD Infrastructure as Code cloud services and observability.
- Apply cloud-native architectures and technologies including microservices micro frontends APIs serverless Kubernetes and Docker.
- Support architectures and services using Google Cloud Platform (GCP) including Compute Engine Cloud Run GKE Cloud Operations suite Anthos Pub/Sub Dataflow Cloud Scheduler Bigtable AlloyDB and other managed services.
- Implement and monitor AI agents that automate platform engineering services improve developer productivity and support platform operations.
- Support Model Context Protocol (MCP) and Agentic AI capabilities for platform engineering.
- Apply AI Operations (AIOps) practices to improve platform automation and Developer Experience.
- Advance Shift Left practices for quality security and open-source software use alongside Shift Right platform engineering practices.
Reliability Performance & Observability
- Design and apply auto-scaling high availability disaster recovery and multi-region Active/Active and Active/Passive patterns.
- Create and maintain architecture diagrams design documents and operational procedures for high availability and disaster recovery.
- Use observability and application performance toolsincluding Dynatrace AppDynamics Prometheus Grafana ELK and Splunkto monitor platform health and support incident diagnosis.
- Analyze kernel logs network statistics application logs and APM metrics to troubleshoot CPU memory and resource hotspots API latency and platform-health issues.
- Identify root causes and resolve complex performance problems involving multiple teams networks and software across GCP Azure or AWS environments.
- Identify infrastructure-layer vulnerabilities and performance bottlenecks and recommend solutions to improve subsystem quality and performance.
- Apply Cloud FinOps practices to understand and optimize cloud infrastructure consumption costs.
Technical Leadership & Collaboration
- Provide hands-on technical leadership and mentor engineers helping technical team members grow and succeed.
- Partner with cloud security SRE release management and other technical domain experts to deliver secure and reliable platform capabilities.
- Facilitate technical discussions among diverse stakeholders and help teams reach decisions or recommendations.
- Communicate architecture decisions risks tradeoffs and recommendations clearly to technical teams and executive leaders.
- Work effectively with global teams in remote and virtual environments and help lead teams through technical and organizational change.
We recognize that no one person will embody every quality or skill listed below. If you bring deep platform engineering expertise and are motivated to improve cloud platforms and developer experiences we encourage you to apply.
Education
- Bachelors degree in Engineering Computer Science Information Technology or a related disciplineor equivalent relevant experience.
- Preferred degree: Bachelor of Engineering.
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.
Required Technical Experience
- Strong experience with platform engineering and self-service capabilities for CI/CD Infrastructure as Code cloud provisioning and observability.
- Experience with GCP services such as 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 Infrastructure as Code and automation tools such as Terraform Packer Ansible shell scripting NX Cloud Helm and Argo CD.
- Experience with CI/CD tools such as Tekton GitHub Actions and Jenkins.
- Experience with containers and orchestration technologies including Docker Kubernetes GKE and Red Hat OpenShift.
- Experience with application and infrastructure security practices and tools including SonarQube Cycode 42Crunch Astra container vulnerability scanning and FOSSA.
- Knowledge of microservices architectures and 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 and of multithreading concurrency and parallel processing concepts as they relate to scalability performance and consistency.
- Experience with REST APIs messaging platforms such as Kafka RabbitMQ or cloud Pub/Sub and stream-processing technologies such as Spark or Storm.
- Experience with relational and NoSQL databases including technologies such as Cassandra HBase MongoDB Memcached or comparable systems.
- Ability to analyze application and infrastructure performance including logs network statistics kernel data and APM metrics.
Preferred Experience
- Experience implementing auto-scaling disaster recovery high availability and multi-region Active/Active or Active/Passive architectures.
- Experience with AIOps Agentic AI automation deploying and monitoring AI agents or Model Context Protocol (MCP).
- Experience with observability tools such as Dynatrace AppDynamics Prometheus Grafana ELK or Splunk.
- Experience with cloud cost management and FinOps practices.
- Experience with five-nines availability transactional systems multi-tenancy and large-scale eCommerce architectures.
- Experience driving adoption of Shift Left quality security and open-source software practices and Shift Right platform engineering practices.
- Experience mentoring senior technical talent and influencing platform strategy across multiple teams.
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 and prescription drug coverage
- Flexible family care parental leave new parent ramp-up programs subsidized back-up child care 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.
For a detailed look at our benefits click here: Benefit Summary
This position is a salary grade LL6 .
This position is leadership level 6 and ranges from $115500-$218100 .
*Visa Sponsorship is not provided for this role *
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 committed to a culturally diverse workforce. 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-.
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Required Experience:
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