Project Lead

This is an exciting and fast-paced role, which requires exceptional technical data and Data Engineering skills with the opportunity to create huge impact to Ford Pro Commercial business.

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.

Responsibilities:

• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams.
• 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 technical lead and expert in software engineering, providing guidance and mentorship to junior engineers.
• 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.

Qualifications:

• Bachelor’s degree in computer science or engineering
• 8+ years of software engineering experience
• 3+ years of experience with GCP, Cloud Run, Spring Boot, and Java
• Experience working with Agile methodologies such as Scrum and eXtreme Programming as an Anchor
• Experience in launching large scale global API’s on cloud technologies such as Azure and GCP
• Agile software engineering practices - TDD, CI/CD, Refactoring, Clean Code, Pairing/Mobbing
• Developing and publishing APIs with Swagger docs in Apigee and APIM.
• Experience with using DevOps tools like Jenkins, SonarQube, CheckMarx and GitHub