Staff Engineer, Ford Pro Intelligence

Ford Motor Company

Staff Engineer leading architectural integrity and scalability for Ford’s data and application platforms. Bridging business requirements with engineering execution in a remote role.

Posted 5/26/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $132,800 - $250,800 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsGoogle Cloud PlatformGraphQLGRPCJavaKafkaKotlinMicroservicesPythonSQL

About the role

Key responsibilities & impact

Architectural Leadership: Design and oversee the implementation of highly scalable, distributed backend systems and microservices using Java, Kotlin, and Python.
Data Strategy: Define the data architecture and modeling standards for both relational (SQL) and non-relational systems, ensuring data integrity, security, and high availability.
Streaming & Batch Processing: Lead the design of real-time data pipelines (e.g., using Dataflow, Pub/Sub, or Kafka) and batch processing frameworks to handle petabyte-scale data efficiently.
AI Integration: Drive the "AI-first" engineering culture by integrating LLMs, machine learning models, and RAG (Retrieval-Augmented Generation) patterns into production workflows using GCP Vertex AI.
Cloud Excellence: Optimize GCP infrastructure for performance and cost, leveraging GKE, BigQuery, and Cloud Spanner to support global-scale operations.
API & Ecosystem Design: Set the standard for API development (REST, GraphQL, gRPC), ensuring seamless integration across internal services and external partners.
Technical Governance: Conduct architecture reviews, define CI/CD best practices, and ensure the team maintains a high bar for code quality, testing, and observability.
Mentorship: Act as a force multiplier by mentoring Senior Engineers, fostering a culture of continuous learning and technical excellence.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Data Science, or a related field
10+ years of professional software engineering experience, with at least 5 years using Python and SQL
5 years experience building and consuming APIs to drive complex data integrations across distributed systems.
5 years experience migrating or building large-scale architectures on GCP.
4+ years in a Senior or Staff capacity, overseeing large-scale distributed systems.
2+ years Practical experience using LLM APIs or building GenAI-enabled applications
Experience in a "Product-led" engineering environment where you have directly influenced product features through technical capability.

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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 Year’s Day
Paid time off and the option to purchase additional vacation time.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaKotlinPythonSQLDataflowPub/SubKafkaGCP Vertex AIGKEBigQuery

Soft Skills

architectural leadershipmentorshipcontinuous learningtechnical excellence

Certifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data Science