Staff Engineer, Ford Pro Intelligence

🕒 Maio 26

🏄 California – Remoto

🏄 California – Remote

💵 $132.800 - $250.800 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Ford Motor Company

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1903

🚗 Transporte

💰 Post-IPO Debt em 2023-08

Transport • Manufacturing • Sustainability

A Ford Motor Company é uma empresa automotiva de renome global sediada nos Estados Unidos, fundada por Henry Ford. A empresa está comprometida em construir um mundo melhor, onde cada indivíduo tenha a liberdade de se mover e seguir seus sonhos. A Ford é dedicada à inovação, com foco em serviços, experiências e software, além de sua tradicional fabricação de veículos. A empresa está ativamente envolvida em iniciativas de sustentabilidade e pretende cumprir metas ambientais ambiciosas. A Ford valoriza o serviço, o impacto na comunidade e se esforça para combinar sucesso nos negócios com responsabilidade social e ambiental. Com uma rica história de mais de 121 anos, a Ford continua a se adaptar e liderar no cenário automotivo em evolução.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.