We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
In this position...
We are seeking a highly motivated Platform Software Engineer to join our Enterprise Data Platform team. In this role you will work closely with engineering, operations, and architecture teams to understand the ingestion process, identify inefficiencies, and develop/enhance the tools. A strong understanding and experience of any major cloud platforms like AWS, Azure, or GCP is essential.
A Platform Software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform. With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently.
What you'll do...
Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features.
Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.
You'll have...
BS in Computer Science or equivalent
Software Engineer with 3+ professional experience
Bachelor’s degree in computer science, Data Engineering or related technical field
2+ years’ experience in Cloud technologies & services, preferably GCP.
Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP, Kubernetes etc.
Strong programming skills in java Spring boot development, designing and developing REST APIs and front-end development using JavaScript, HTML5, CSS3, Bootstrap, Angular JS.
Experience with SQL and relational databases like PostgreSQL, MySQL, SQL Server
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you…