About The Position

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. 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. The Senior Cloud Infrastructure Engineer 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.

Requirements

  • Senior Cloud Infrastructure Engineer, Connected Vehicle Division
  • Architect and scale the cloud infrastructure foundation powering Ford’s next-generation Software Diagnostics & Observability platform.
  • Shape infrastructure modernization and automation initiatives.
  • Architect and use GCP in an enterprise environment with multiple user profiles with high level of autonomy and visibility.
  • Design resilient, production-grade infrastructure automation frameworks.
  • Directly influence how next-generation connected vehicles detect, diagnose, and recover from software and electronics failures in production environments.

Responsibilities

  • Architect and scale the cloud infrastructure foundation powering Ford’s next-generation Software Diagnostics & Observability platform.
  • Shape infrastructure modernization and automation initiatives.
  • Architect and use GCP in an enterprise environment with multiple user profiles with high level of autonomy and visibility.
  • Design resilient, production-grade infrastructure automation frameworks.
  • Directly influence how next-generation connected vehicles detect, diagnose, and recover from software and electronics failures in production environments.
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