Platform Software Engineer Jobs (NOW HIRING)

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Data Engineering, or related field and 5 years of experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: 1. Designing and implementing enterprise data solutions, including managing data catalogs, and writing optimized SQL queries and procedures across databases, including PostgreSQL, MSSQL, and Oracle. 2. Developing web-based applications using Java Spring Boot, JavaScript, TypeScript, and Angular frameworks. 3. Applying data governance, security best practices including row-level-access and column-level access controls in cloud environments. 4. Leveraging code quality and security tools, including SonarQube, 42 Crunch, and FOSSA, to ensure secure and maintainable software development. 5. Automating data platform processes for operational efficiency and reliability. 6. Utilizing GitHub for source code management and collaboration, creating data visualization dashboards using Qlik and Looker for monitoring system performance, and troubleshooting using Dynatrace. 4 years of experience with each of the following skills is required: 1. Leveraging DevOps and containerization technologies (Docker and Podman) to build, deploy, and manage cloud-native microservices and data pipelines. 2. Designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipelines using Tekton, Cloud Build, and Jenkins to automate testing and multi-cloud deployments. 3. Programming backend services using Java, Spring Boot, and J2EE frameworks and architecting RESTful APIs and microservices aligned with Service-Oriented Architecture (SOA) principles. 4. Deploying and managing solutions on Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and Vertex AI. 5. Applying Agile methodologies using JIRA.

We are offering a salary of $140,629.00 - $188,557.56/yr. 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-DNI

#DNP

Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Data Engineering, or related field and 5 years of experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: 1. Designing and implementing enterprise data solutions, including managing data catalogs, and writing optimized SQL queries and procedures across databases, including PostgreSQL, MSSQL, and Oracle. 2. Developing web-based applications using Java Spring Boot, JavaScript, TypeScript, and Angular frameworks. 3. Applying data governance, security best practices including row-level-access and column-level access controls in cloud environments. 4. Leveraging code quality and security tools, including SonarQube, 42 Crunch, and FOSSA, to ensure secure and maintainable software development. 5. Automating data platform processes for operational efficiency and reliability. 6. Utilizing GitHub for source code management and collaboration, creating data visualization dashboards using Qlik and Looker for monitoring system performance, and troubleshooting using Dynatrace. 4 years of experience with each of the following skills is required: 1. Leveraging DevOps and containerization technologies (Docker and Podman) to build, deploy, and manage cloud-native microservices and data pipelines. 2. Designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipelines using Tekton, Cloud Build, and Jenkins to automate testing and multi-cloud deployments. 3. Programming backend services using Java, Spring Boot, and J2EE frameworks and architecting RESTful APIs and microservices aligned with Service-Oriented Architecture (SOA) principles. 4. Deploying and managing solutions on Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and Vertex AI. 5. Applying Agile methodologies using JIRA.

We are offering a salary of $140,629.00 - $188,557.56/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite.  This position involves 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 (Big Query, 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.

What you'll be able to do: 

Platform Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite. This position involves 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 (Big Query, 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.