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 data ingestion, identify inefficiencies, and develop or enhance tools. It calls for software development expertise in Java or Python and experience with major cloud platforms, particularly GCP, to build and manage applications at scale. The position may involve backend microservices and APIs, full-stack UI/UX solutions, and frameworks and services that support an enterprise data platform. Engineers are expected to work through the software development lifecycle and independently design, code, test, and release production features. The engineer will design and maintain scalable data pipelines and microservices for real-time and batch processing, develop service-oriented and microservices architectures, integrate front-end and back-end components, and lead data ingestion and integration. The role uses GCP services and requires attention to data governance, access control, security, performance, automation, and operational reliability. The position is hybrid and requires onsite work 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 programming skills and Spring Boot development experience.
- 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 a solid understanding of the software development lifecycle.
Nice To Haves
- Experience with GCP is preferred.
- Experience with a major cloud platform such as AWS, Azure, or GCP.
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-based architectures for modular, flexible, maintainable data solutions.
- Integrate front-end and back-end components to support 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, including 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 establish cloud data engineering best practices, design patterns, and frameworks.
- Automate data platform processes to improve reliability and operational efficiency and reduce manual intervention.
- Design, code, test, and release features to production.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Paid parental leave, new parent ramp-up programs, and subsidized back-up 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
