Platform Software Engineer
About The Position
Ford Motor Company is seeking a Platform Software Engineer for its Enterprise Data Platform team. The role works closely with engineering, operations, and architecture teams to understand data ingestion processes, identify inefficiencies, and develop or enhance tools. The engineer uses Java or Python and cloud-platform expertise to build and manage applications at scale, including backend microservices, APIs, and frameworks and services that enable an enterprise data platform. The role requires familiarity with the software development lifecycle and hands-on experience with Git and CI/CD to design, code, test, and release production features. The position focuses on developing scalable data pipelines and microservices for real-time and batch processing on GCP, integrating data from multiple sources, and building cloud data solutions. It also involves full-stack integration, data governance and security, performance optimization, collaboration on engineering best practices, and automation to improve platform reliability and operational efficiency. The position is hybrid, with a requirement to work onsite four or more days per week.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent.
- At least 3 years of professional software engineering experience.
- At least 2 years of experience with cloud technologies and services; GCP is preferred.
- Experience with SonarQube, CI/CD, Tekton, Terraform, GCS, GCP, and Kubernetes.
- Strong Java and Spring Boot development skills.
- Experience designing and developing REST APIs.
- Front-end development experience using JavaScript, HTML5, CSS3, Bootstrap, and AngularJS.
- Experience with SQL and relational databases such as PostgreSQL, MySQL, or SQL Server.
- Experience with Git and the software development lifecycle.
Nice To Haves
- Experience with GCP cloud technologies and services.
- Experience with Python.
- Experience developing full-stack solutions and UI/UX components.
Responsibilities
- 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 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, ensuring it is standardized and optimized for analytics.
- Use GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
- Implement and manage data governance, access controls, and security practices, including GCP row- and column-level security.
- 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 best practices, design patterns, and frameworks for cloud data engineering.
- 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 and fertility treatments.
- Vehicle discount program for employees and family members, and management leases.
- Tuition assistance.
- Employee resource groups.
- Paid time off for individual and team community service.
- Vacation time, sick/personal time, and 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
