Sr. Staff Software Engineer

Ford Ford · Auto · United States · PD Operations and Quality

Sr. Staff Software Engineer to lead technical vision and build web applications and services for Ford's Electric Vehicles, Digital and Design (EVDD) team, specifically the Ford Pro Intelligence (FPI) Telematics team. This role involves driving architectural vision, designing data-intensive applications, and leading the development of core SaaS platforms, API services, and frontends in a high-scale SaaS environment.

What you'd actually do

  1. Architect, design, and drive the technical roadmap for large-scale, data-intensive SaaS applications that span multiple teams within FPI and partner teams across Ford Engineering.
  2. Act as a force multiplier for the engineering team. Actively lead, mentor, and coach junior and mid-level engineers, fostering a culture of technical excellence and continuous learning.
  3. Partner directly with Product, Design, and Business leadership to shape product strategy. Translate complex business needs into scalable architectural designs and technical requirements.
  4. Effectively scope, estimate, and provide architectural blueprints and capacity planning for massive, multi-quarter enterprise initiatives.
  5. Lead the hands-on development of critical architectural components and complex projects, setting the standard for code quality, system reliability, and deployment practices across the organization.

Skills

Required

  • 10+ years of professional software engineering experience
  • 8+ years of experience developing enterprise-grade API services using Java or Kotlin (Spring Boot preferred)
  • 7+ years of experience designing and optimizing relational (PostgreSQL) and NoSQL databases
  • 5+ years of experience architecting and deploying production workloads in cloud environments (GCP, AWS, or Azure)
  • 3+ years of experience with modern frontend frameworks (React preferred)

Nice to have

  • Exceptional ability to communicate complex architectural concepts
  • Deep understanding of distributed systems, microservices architecture, RESTful interfaces, and OAS standards.
  • Extensive experience with Springboot services and enterprise integration patterns.
  • Expert-level knowledge of pub/sub architectures, event-driven systems, and cloud-native capabilities.

What the JD emphasized

  • high-throughput, low-latency systems
  • high-volume data pipelines and large-scale datasets (petabyte-scale preferred)