Ford Motor Company

Director of Software Engineering

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Dearborn • Missouri • 🇺🇸 United States

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Job Level

Lead

Tech Stack

CloudDockerKubernetesMicroservicesRDBMSSQL

About the role

  • Join our team in a Senior Engineering leadership role overseeing the delivery, architecture, and engineering for a complex micro services ecosystem for the Shop journey of the Global eCommerce platform.
  • You will build a modern, greenfield open stack platform based on MACH architecture principles for a large-scale ecommerce initiative with controlled data duplication and provide technical leadership to multiple product lines across eCommerce platforms.
  • This is a Delivery and technical leadership role with people management responsibilities.
  • The Director of Software Engineering will have proficiency/exposure in Generative AI platforms, encompassing expertise in areas such as Multi-Modal RAG, Semantic Search, and Vector Databases.
  • Proven capability to integrate and deploy LLM models for diverse business applications, taking ownership of all AI-related feature development for Ford.com.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering or equivalent combination of relevant education and experience.
  • 10+ years of strong hands-on Software engineering/ programming/ solution design experience to include:
  • Experience/Awareness of Microservices architecture, Cloud-Native architectures, Event-driven architectures, APIs, Domain-Driven Design, Public Cloud (Google Cloud), Serverless, Kubernetes, Docker, DevOps, building scalable, reliable, available solutions, and/or performance testing.
  • Strong technical background with the capability of being hands-on and earn the respect and ability to mentor top individual technical talent.
  • Conversant in multiple programming languages. Thorough knowledge of multi-threading, concurrency, and parallel processing concepts including scalability, performance, and consistency characteristics of a microservices driven eCommerce architecture
  • Experience in Cloud Native systems, Transactional Systems, Multi-Tenancy, five-nines availability, and Containerization technologies
  • Experience in collaborating and partnering with other technical domain experts such as cloud, security, SRE, and DevOps.
  • Experience/awareness in building structured, semi-Structured and unstructured data stores with a good understanding of RDBMS, No-SQL databases and strong exposure to data modelling, data access patterns, data replication, active-active, polyglot persistence setup.
  • 2 + years of experience or at least exposure in GenAI platforms – Multi Modal RAG, Semantic search, Vector DBs, Integrate LLM models to power business use cases and lead all AI related features on ford.com. This will include experience/exposure with Generative AI platforms, including Multi-Modal RAG, Semantic Search, and Vector Databases
Benefits
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
microservices architecturecloud-native architectureevent-driven architectureAPIsDomain-Driven DesignGoogle CloudKubernetesDockerDevOpsdata modeling
Soft skills
technical leadershippeople managementmentoringcollaborationcommunication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Computer EngineeringBachelor’s degree in Systems Engineering
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