Software Engineer, Platform Systems – SDV/FNV

Ford Motor Company

Software Engineer building GCP data pipelines, microservices, and secure analytics platforms for Ford’s smart mobility products. Hybrid Dearborn role focused on scalable cloud data engineering.

Posted 8/12/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $102,190 - $166,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and developing scalable data pipelines and microservices on GCP, with a strong focus on data governance, security best practices, and operational efficiency. Proficient in integrating front-end and back-end components to enhance data access and user experience.

Highest-signal resume keywords

GCP Data Pipeline DevelopmentMicroservices ArchitectureData Governance ImplementationGitHub Source Code ManagementContainer Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentMicroservices ArchitectureData IntegrationData StandardizationGCP BigQueryGCP DataflowGCP Pub/SubGCP Cloud FunctionsAutomation of ProcessesFull-Stack Development

Soft Skills

CollaborationLeadership

Tools & Technologies

GitHubGCP

Industry Keywords

Data GovernanceReal-Time ProcessingBatch ProcessingData SecurityOperational Efficiency

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Architect, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing on GCP
Design and implement service-oriented and microservices-based architectures
Integrate front-end and back-end components for robust data access and UI-driven data exploration
Lead ingestion and integration of data from various sources into the data platform
Standardize and optimize data for analytics
Utilize GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Functions to build and manage data platforms
Implement and manage data governance, access controls, and security best practices
Leverage GCP row- and column-level security features
Monitor and improve performance, scalability, and efficiency of data pipelines and storage solutions
Collaborate with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks
Automate data platform processes to improve reliability, reduce manual intervention, and increase operational efficiency

Requirements

What you’ll need

Bachelor’s degree or foreign equivalent in Software Engineering, Electric Engineering, Mathematics, Electronics Engineering, Electrical Engineering, Computer Engineering, or a related field
3 years of experience in the job offered or a related occupation
3 years of experience utilizing GitHub for source code management
1 year of experience leveraging full-stack expertise to integrate front-end and back-end components
1 year of experience utilizing container technologies to manage and deploy services
1 year of experience automating processes to enhance reliability, reduce manual intervention, and improve operational efficiency
Must be legally authorized to work in the United States
Must live within a reasonable commuting distance from the Dearborn worksite

Benefits

Comp & perks

Immediate medical, dental, and prescription drug coverage
Flexible family care
Parental leave
New parent ramp-up programs
Subsidized back-up child care
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off
Option to purchase additional vacation time