Platform Software Engineer
About The Position
Ford Motor Company is seeking a Platform Software Engineer to join its Enterprise Data Platform team. The role works with engineering, operations, and architecture teams to understand and improve data ingestion processes and develop platform tools. The engineer builds and manages scalable applications and data solutions using cloud platforms, with a focus on GCP. The position encompasses backend microservices and APIs, full-stack integration, and development of frameworks and services for an enterprise data platform. Engineers independently design, code, test, and release features using established software development lifecycle practices, Git, and CI/CD. The role involves building data pipelines and microservices for real-time and batch processing, integrating data from multiple sources, and applying governance and security practices. The position is hybrid, with a requirement to work onsite four or more days per week. Ford states that visa sponsorship is not available and candidates must be legally authorized to work in the United States.
Requirements
- At least 3 years of professional software engineering experience.
- At least 2 years of experience with cloud technologies and services, preferably GCP.
- Bachelor’s degree in computer science, data engineering, or a related technical field, or equivalent as described in the posting.
- Experience with SonarQube, CI/CD, Tekton, Terraform, GCS, GCP, and Kubernetes.
- Strong Java programming skills and Spring Boot development experience.
- Experience designing and developing REST APIs.
- Experience with front-end development using JavaScript, HTML5, CSS3, Bootstrap, and AngularJS.
- Experience with SQL and relational databases such as PostgreSQL, MySQL, or SQL Server.
- Familiarity with software development lifecycle practices and hands-on experience with Git and CI/CD.
- Must be legally authorized to work in the United States; visa sponsorship is not available.
Nice To Haves
- Experience with GCP is preferred.
- Experience across backend microservices and full-stack development, including UI/UX solutions and enterprise platform frameworks and services.
Responsibilities
- Architect, develop, and maintain scalable data pipelines and microservices for real-time and batch processing on GCP.
- Design and implement service-oriented and microservices architectures for modular, flexible, maintainable data solutions.
- Integrate front-end and back-end components to support robust data access and UI-driven data exploration.
- Lead ingestion and integration of data from various sources, standardizing and optimizing it for analytics.
- Use 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, including GCP row- and column-level security features.
- Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
- Collaborate with data architects, software engineers, and cross-functional teams to define cloud data engineering best practices, design patterns, and frameworks.
- Automate data platform processes to improve reliability and operational efficiency and reduce manual intervention.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage
- Paid parental leave and new-parent ramp-up programs
- Subsidized backup child care
- Adoption and surrogacy expense reimbursement
- Fertility treatments
- Vehicle discount program for employees and family members
- Management leases
- Tuition assistance
- Employee resource groups
- Paid time off for individual and team community service
- Vacation time
- Sick and personal time
- Paid holidays, including between Christmas Eve and New Year’s Day
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
