Software Engineer

Pro 360 Data Analytics & AI Portfolio: Leads design and product teams which create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.

This critical application leverages Python, Java Springboot, GCP Cloud Run, and cloud-native technologies to deliver optimal customer experience.

You will drive technical excellence, foster innovation, and ensure the scalability, reliability, and security of our core systems.

• Develop Spring Boot/Java API/microservices on Google Cloud Platform (GCP) utilizing GCP services such as Cloud Run, Cloud Spanner, Cloud Pub/Sub, and more.
• Champion engineering best practices, including code reviews, adherence to architectural principles, and the development of reusable frameworks and components.
• Drive the implementation of comprehensive observability, monitoring, and alerting frameworks (SLOs/SLIs) to ensure the performance, reliability, and availability of critical systems.
• Lead performance engineering initiatives, including proactive bottleneck identification, capacity planning, and the establishment of performance baselines and benchmarks.
• Serve as a
• Deliver software frequently using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD)
• Work with team members to establish best practices to maximize efficiency and minimize risk.
• Interact and work closely with product managers to devise solutions and break them into incremental production-ready user stories.
• Executing API Load and Performance (L&P) on API/modules developed.
• Use DevOps tools such as Tekton, SonarQube, Fossa, and GitHub to deploy, improve and manage software.