Cloud Platform Software Engineer — Global Connected Vehicle Platform

Ford Pro is focused on transforming the future of transportation through its Electric Vehicles, Digital and Design (EVDD) team. They are seeking a Cloud Platform Software Engineer to design, build, and operate scalable microservices on cloud infrastructure, contributing to the Ford Connected Vehicle Cloud Platform.

Responsibilities:

• Design, develop, maintain, and support multiple mission-critical cloud platform components and APIs that power Ford’s connected vehicle ecosystem
• Take ownership of software services from initial design to deployment and production operations on modern cloud infrastructure (AWS/GCP & Kubernetes)
• Build high-performance, resilient, and event-driven microservices capable of handling massive, real-time data streams
• Champion clean code, Test-Driven Development (TDD), robust API design, and comprehensive load/performance testing to ensure ultra-high reliability
• Partner closely with product managers, technical leaders, and cross-functional teams in an agile environment to translate complex requirements into production-ready solutions
• Implement proactive monitoring, alerting, and performance-management strategies to ensure system health and adhere to strict SLAs

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• 5+ years of professional software engineering experience designing, developing, and operating high-performance, cloud-based platforms and microservices
• 5+ years in roles requiring proven expertise in Java and Spring Boot
• 5+ years in roles hands-on experience with cloud-native architectures (AWS or GCP) and container orchestration (Kubernetes)
• 5+ years' experience building event-driven systems using Kafka (or cloud equivalents like Pub/Sub) and working with relational/non-relational databases (e.g., PostgreSQL)
• 5+ years demonstrating technical proficiency with modern DevOps tools and CI/CD pipelines (e.g., Jenkins, GitHub, ArgoCD, SonarQube) to ensure secure and efficient delivery
• 5+ years' experience in roles demonstrating a strong commitment to writing clean, maintainable code with experience in TDD and API performance/load testing
• Master's degree in Computer Science or a related technical field
• Experience with advanced GCP/AWS cloud-native tools (e.g., Cloud Run, Spanner, Cloud Functions, Cloud Scheduler, GKE/EKS, Terraform)
• Deep understanding of API gateway technologies (e.g., Apigee, Tyk) and protocols (gRPC, WebSockets, REST, JSON)
• Experience with GitOps and advanced deployment strategies (e.g., Canary deployments, Tekton, ArgoCD)
• Experience supporting critical, 'always-on' applications in high-throughput, low-latency production environments
• Ability to make data-informed architectural decisions, even when dealing with imperfect or incomplete data