Staff Engineer, Ford Pro Intelligence

This is a fully remote position, open to applicants in California.

📋 Description

• Architectural Leadership: Design and manage the execution of highly scalable, distributed backend systems and microservices utilizing Java, Kotlin, and Python.

• Data Strategy: Establish the data architecture and modeling standards for both relational (SQL) and non-relational systems, ensuring the integrity, security, and high availability of data.

• Streaming & Batch Processing: Lead the design of real-time data pipelines (e.g., using Dataflow, Pub/Sub, or Kafka) along with batch processing frameworks to efficiently handle petabyte-scale data.

• AI Integration: Promote an "AI-first" engineering culture by embedding LLMs, machine learning models, and RAG (Retrieval-Augmented Generation) patterns into production workflows with GCP Vertex AI.

• Cloud Excellence: Enhance GCP infrastructure for optimal performance and cost efficiency, utilizing GKE, BigQuery, and Cloud Spanner to facilitate global-scale operations.

• API & Ecosystem Design: Establish standards for API development (REST, GraphQL, gRPC), ensuring smooth integration across internal services and external partners.

• Technical Governance: Perform architecture reviews, define CI/CD best practices, and ensure the team upholds high standards for code quality, testing, and observability.

• Mentorship: Serve as a force multiplier by mentoring Senior Engineers, cultivating a culture of continuous learning and technical excellence.

⛳️ Requirements

• Bachelor’s Degree in Computer Science, Data Science, or a related field.

• 10+ years of professional software engineering experience, with a minimum of 5 years using Python and SQL.

• 5 years of experience in building and consuming APIs to facilitate complex data integrations across distributed systems.

• 5 years of experience in migrating or constructing large-scale architectures on GCP.

• 4+ years in a Senior or Staff role, managing large-scale distributed systems.

• 2+ years of practical experience utilizing LLM APIs or developing GenAI-enabled applications.

• Experience in a "Product-led" engineering environment where your technical capabilities have directly influenced product features.

🏝️ Benefits

• Immediate medical, dental, vision, and prescription drug coverage.

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized backup childcare, and more.

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and additional support.

• Vehicle discount program available for employees and family members, as well as management leases.

• Tuition assistance programs.

• Established and active employee resource groups.

• Paid time off for individual and team community service activities.

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.

• Paid time off along with the option to purchase additional vacation time.