Ford Motor Company is seeking an early- to mid-career Full Stack Software Engineer for its Connected Vehicle Data Team within Global Data Insight & Analytics. The role focuses on building backend services, APIs, frontend applications, streaming integrations, and cloud deployments that make connected-vehicle data accessible and useful, while contributing to testing, monitoring, production support, and applied AI initiatives.
Backend services and APIs. Build and maintain REST APIs and microservices in Java and Spring Boot, backed by SQL databases and BigQuery
Frontend apps and dashboards. Build features and reusable components in React or Angular with TypeScript that help people explore vehicle data
Streaming integrations. Write Kafka and Pub/Sub producers and consumers, and learn how to handle retries, failed messages, and message order
Cloud deployments. Package apps with Docker and deploy them to OpenShift and GCP (Cloud Run, GKE), including configuration, secrets, and health checks
Testing and quality. Write unit and integration tests with JUnit and frontend test tools (for example, Jest or Cypress), take part in code reviews and pairing, and learn test-driven development
Monitoring and support. Add logging, alerts, and dashboards in Cloud Logging and Cloud Monitoring, and help troubleshoot production issues using runbooks
Good engineering habits. Use Git and CI/CD (GitHub Actions, Tekton), keep dependencies up to date, fix issues found by code quality and security scans, and follow secure coding, API security, and data privacy practices
AI in practice. Use tools like GitHub Copilot every day for code, tests, and documentation. You'll also help with the team's AI work, for example: building the API and UI for an assistant that answers plain-English questions about vehicle data; calling LLM APIs to draft metadata, summaries, or release notes; trying simple ways for an AI assistant to answer questions from team documentation; writing test cases that check AI output is accurate and safe
Working as a team. Work with senior engineers, the team's technical lead (Anchor), product owners, data engineers, and platform teams to plan work in small pieces and ship them. data engineers, and platform teams to plan work in small pieces and ship them
Qualification
Required
A bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
1 to 4 years of professional software engineering experience. Strong internships or co-ops count
Hands-on experience building backend services or REST APIs in Java with Spring Boot
Working knowledge of SQL and relational databases
Day-to-day use of Git, and experience writing automated tests (for example, JUnit)
A basic understanding of Docker and deploying applications to a cloud or container platform
The habit of asking "how will I know this works?" and testing before you ship
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States
Visa sponsorship is not available for this position
Preferred
GCP experience, especially Cloud Run, GKE, BigQuery, Pub/Sub, Cloud SQL, or Cloud Storage
Kafka or Pub/Sub, or concepts such as retries, dead-letter queues, and message ordering
OpenShift or Kubernetes (deployments, config maps, secrets, health checks)
CI/CD with GitHub Actions, Tekton, or Jenkins, code scanning tools such as SonarQube, Checkmarx, or FOSSA, and some Terraform
Monitoring with Cloud Monitoring, Dynatrace, Grafana, or Splunk, and setting reliability targets (SLOs)
Agile practices such as Scrum, XP, test-driven development, or pair programming
Hands-on work with AI, such as calling an LLM API, building a small RAG app, or an agent. School, hackathon, and personal projects all count
Python for scripting or data work
Experience with IoT, telemetry, or other time-series data
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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
Hybrid work arrangement with a requirement to be onsite four or more days per week
