Hybrid Full-Stack Software Engineer, Cloud and Analytics

Ford; Dearborn (MI); Hybrid; USD 85,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave and family care support

Vehicle discount program

Tuition assistance

Paid time off and holidays

Employee resource groups

Job summary

Ford is seeking a skilled Full-Stack Software Engineer to design, develop, test and maintain software applications for on‑premise and cloud native environments. You will own end-to-end development across frontend and backend, collaborating with Product Managers, Designers and Data Scientists to deliver analytic solutions.

This role emphasizes cloud architectures, ML insights, code reviews, and mentoring teammates within an agile framework.

Qualifications

• Bachelor’s degree in computer science, computer engineering or equivalent.
• 5+ years in Software Engineering with cloud deployment experience.
• 3+ years deploying to cloud platforms (GCP, PCF, Azure).
• Develop and maintain scalable, reliable software with ML data insights.

Responsibilities

• Provide thought leadership across the Ford community.
• Define, design, develop, and deploy applications and services.
• Perform design and code reviews and mentor junior engineers.
• Create proofs-of-concepts to test ideas with working software.
• Collaborate with product managers, designers, data scientists and engineers.
• Integrate with Ford systems to deliver new digital experiences.
• Build solutions with measurable value alongside other teams.

Skills

Java

Python

SQL

TDD

RESTful microservices

Cloud platforms

GCP

BigQuery

Spring Boot

Docker

Education

Bachelor’s degree in computer science, computer engineering, or related field

Tools

Terraform

Kubernetes (GKE)

Cloud Run

Jenkins

GitHub Actions

Airflow

Job description

Ford is seeking a skilled Full-Stack Software Engineer to design, develop, test and maintain software applications for on‑premise and cloud native environments. You will own end-to-end development across frontend and backend, collaborating with Product Managers, Designers and Data Scientists to deliver analytic solutions.

This role emphasizes cloud architectures, ML insights, code reviews, and mentoring teammates within an agile framework.