Application Programming Interface (API), Automation, Automotive Industry, Cloud Computing, Cloud Storage, Continuous Deployment/Delivery, Continuous Integration, Data Partitioning, Engineering, GCP (Good Clinical Practices), Machine Tool, Replication and Remote Mirroring, Risk, Software Engineering, nginx Web Server
Introduction
This role is crucial in building the platform that enables Ford's connected vehicle architecture to scale beyond its current limits. The work involves eliminating single-cluster blast radius risk, enabling sharded multi-cloud deployment, and making GCP migration a reality. The work is technically challenging, the scale is significant, and the impact is direct.
Required Skills & Qualifications
- 5 years of professional software or cloud engineering experience
- Experience provisioning and managing Kubernetes clusters (EKS or GKE) in production
- Strong Terraform skills - writing modular, production-grade IaC with GitOps workflows
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, or equivalent)
- Prior work experience in the automotive industry or related field
Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
- GCP experience: GKE, Pub/Sub, Cloud Storage, workload identity, VPC-SC, Cloud Operations
- API gateway experience: Tyk, Apigee, or NGINX - routing, policy management, mTLS, SLI replication
- Service mesh experience: Istio traffic management, mTLS, and observability
Day-to-Day Responsibilities
- Designing, developing, and maintaining the cloud platform and automation tooling
- Building cloud-native solutions that enable automated, repeatable shard provisioning
- Developing and maintaining CI/CD pipelines using ArgoCD, Tekton, or Concourse
For immediate consideration please click APPLY to begin the screening process with Alex.