Staff Engineer, Ford Pro Intelligence
About The Position
We are looking for a visionary Staff Engineer to serve as the technical North Star for our data and AI-driven platforms. In this role, you will be responsible for the evolution of our core architecture, moving us toward a future where real-time data processing and AI are seamlessly integrated into every facet of our product. As our data ecosystem grows in complexity, we need a leader who can navigate the intersection of high-performance backend engineering and modern AI capabilities. You will tackle "unsolved" problems—designing systems that handle petabytes of data with millisecond latency, architecting multi-tenant API ecosystems, and building the infrastructure that delights our customers who are leveraging our AI solutions for their everyday work. You are a "leader of leaders," someone who influences our multi-year technical roadmap and ensures that our engineering standards remain world-class while we innovate at speed on the Google Cloud Platform (GCP).
Requirements
- Expert-level proficiency in Java and Python.
- Strong experience with Kotlin for modern backend services.
- Deep experience with GCP (Google Cloud Platform), specifically BigQuery, Dataflow, Vertex AI, GKE (Google Kubernetes Engine), and IAM.
- Mastery of SQL and data modeling.
- Proven track record of building real-time processing systems at scale and robust batch ETL/ELT pipelines.
- Practical experience deploying AI/ML models in production, prompt engineering, fine-tuning, and working with vector databases (e.g., Pinecone, Weaviate, or Vertex AI Search).
- Expert knowledge of distributed systems, CAP theorem, microservices patterns, and event-driven architecture.
- Ability to look 12–24 months ahead and identify technical debt or opportunities for innovation.
- Ability to explain complex technical concepts to non-technical stakeholders and executives.
- A "get it done" attitude with the ability to navigate ambiguity and drive projects to completion in a fast-paced environment.
Responsibilities
- Serve as the technical North Star for data and AI-driven platforms.
- Be responsible for the evolution of our core architecture.
- Integrate real-time data processing and AI into every facet of our product.
- Design systems that handle petabytes of data with millisecond latency.
- Architect multi-tenant API ecosystems.
- Build infrastructure for customers leveraging AI solutions.
- Influence the multi-year technical roadmap.
- Ensure engineering standards remain world-class.
- Innovate at speed on the Google Cloud Platform (GCP).
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
