You will design, develop, and evolve cloud-native services and analytic software tools to support business outcomes. Additionally, you will lead performance engineering initiatives and champion engineering best practices across the development lifecycle.
Candidates must have a bachelor's degree in computer science or engineering and at least 8 years of software engineering experience. Proficiency in Java, Spring Boot, and Google Cloud Platform is required, along with experience in Agile methodologies.
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.
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.
Qualifications
Qualifications for Internal Candidates
Minimum 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
Developing and publishing APIs with Swagger docs in Apigee and APIM.
Experience with using DevOps tools like Jenkins, SonarQube, CheckMarx and GitHub
Preferred Skills:
Experience working with Python, Google Cloud Platform (or comparable), and related cloud native tools like Cloud Run, GKE, PubSub, Cloud Functions/Schedulers, APIGEE, GCP Logging, Terraform scripts, etc. and deployment pipelines like Cloud Build and Tekton
Inquisitive, proactive, and interested in learning new tools and techniques.
Strong oral, written and interpersonal communication skills
Comfortable working in a dynamic environment where problems are not always well-defined
About Ford Motor Company
Ford Motor Company is a global innovator in transportation, dedicated to creating connected and electric vehicles that enhance mobility and improve the lives of communities worldwide.