Cloud Engineering Senior Engineer

***ORDER IS BILLING TO A PD DEPARTMENT THAT REQUIRES THE FORD PEOPLE LEADER TO OBTAIN A SECOND APPROVAL TO EXTEND AN OFFER*** The Software Developer in this role will support the design development testing and deployment of the Telemetry & Observability Platform (TOP). TOP is an enterprise platform that integrates vehicle telemetry diagnostic information engineering artifacts manufacturing evidence service data and software lifecycle signals to provide actionable diagnostic and software-health insights. This role will work within a cross-functional Agile team to build cloud-native services data integrations user-facing capabilities and platform observability. The developer will receive technical direction from senior engineers and architects while progressively taking ownership of well-defined platform components and features. Employees in this job function are responsible for designing building and deploying cloud-based infrastructure and managed services to achieve scalability flexibility and cost efficiencies for private and public cloud systems that support the business. They are focused on created opinionated cloud environments and systems like Storage as a service Infrastructure as a service etc. that form building blocks used by other enterprise and product teams.

Competency Group: All Information Systems

Security Check Reqd: Y

Estimated Regular Hours: 0

Estimated Overtime Hours: 0

Standard Shift: Morning

Travel Required N

Travel %: 0

Division:

Skills Required:
GCP AWS REST APIs JavaScript SQL Kubernetes Docker AIPGEE Agile Software Development Software Development Lifecycle GitHub 1. AWS Deploy or support basic applications using AWS services such as S3 EC2 or RDS 2. GCP Use GCP 2.0 or GCP 3.0 cloud services such as Compute Engine Cloud Storage BigQuery to run an application or work with data. 3. API Understand how an application communicates with another system through requests/responses and be capable of developing API endpoints for applications as well as invoking them. 4. REST APIs Create or use HTTP endpoints (for eg. Using GET requests or creating a record with a POST request) 5. Java Write and maintain Java code for application features business logic and error handling. 6. JavaScript Write basic scripts or application functionality such as validating form input or updating a webpage/UI. 7. SQL - Write queries to retrieve insert update and summarize data in a relational database. 8. Kubernetes Deploy and manage containerized apps such as checking pod status or updating a deployment. 9. Docker Build and run a container for an application so it behaves consistently across dev and test environments. 10. APIGEE Use Apigee to publish and manage APIs configure an API proxy setup authentication apply policies such as rate limits and monitor API traffic. 11. Agile Software Development Participate in sprint planning daily stand-ups reviews and retrospectives and deliver work in small increments. 12. Software Development Lifecycle Understand the stages of software delivery from requirements and design through development testing deployment and maintenance. 13. GitHub Use GitHub to access a repository create a branch commit changes open a pull request and respond to review feedback. 14. Spring Boot - Build or support a basic Java application or REST service using Spring Boot.

Skills Preferred:
Artificial Intelligence & Expert Systems - Have an understanding of agentic AI workflows data pipeline build and processing AI evaluation strategies using RAGAS understanding of RAG and vectorization as well as LLM orchestration.

Experience Required:
Bachelors degree in computer science software engineering information technology or a related discipline or equivalent practical experience. Approximately 7 years of software development experience. Programming experience in one or more relevant languages such as: Python Java JavaScript or TypeScript Experience developing or consuming REST APIs and working with structured data formats such as JSON. Understanding of object-oriented programming software design principles and common application architecture patterns. Experience with relational databases SQL and basic data modeling. Experience using Git-based source control and participating in peer code reviews. Familiarity with automated unit and integration testing. Basic understanding of cloud computing containerization and CI/CD practices. Ability to diagnose software issues using application logs and debugging tools. Strong written and verbal communication skills. Ability to work collaboratively with product owners architects engineers data specialists testers and operations teams.

Experience Preferred:
Experience with Google Cloud Platform services such as Google Kubernetes Engine Pub/Sub Cloud Storage or Cloud SQL. Experience with Docker Kubernetes Terraform or similar cloud-native technologies. Experience developing frontend applications using React and TypeScript. Familiarity with event-driven architecture asynchronous processing and data pipelines. Experience implementing platform observability using logs metrics traces dashboards and alerting. Familiarity with OpenTelemetry or comparable observability standards and tooling. Experience with API specifications and tools such as OpenAPI or Swagger. Familiarity with authentication authorization role-based access control and secure coding practices. Experience integrating AI or machine-learning services through APIs. Familiarity with prompt management AI response validation confidence scoring or human-feedback capture. Experience working with telemetry automotive diagnostics connected-vehicle data manufacturing information or engineering lifecycle systems. General knowledge of diagnostic concepts such as DTCs CAN UDS or DoIP is beneficial but not required. Experience working in an Agile or Scrum delivery model. Experience with Data Modeling & Data Science.

Education Required:
Bachelors Degree

Education Preferred:
Masters Degree

Original Duration: 364 Days

Additional Information:
***HYBRID // 4 days per week in the office*** ***Please direct all questions or concerns regarding this order to Susan Davis and Kathleen Sheedlo via email.*** ***As this is a hybrid position the customer may request in-person interviews.*** ***Agency employees are required to be onsite from day one Design develop test and maintain TOP platform components under the guidance of senior engineers. Build and integrate REST APIs backend services data-processing functions and event-driven workflows. Develop integrations with approved vehicle service engineering manufacturing and software-factory data sources. Support the ingestion normalization validation storage and retrieval of telemetry and diagnostic information. Contribute to web-based interfaces and dashboards used to present diagnostic operational AI-performance and platform-health information. Implement logging metrics distributed tracing error handling and health checks for platform services. Write unit integration API and automated regression tests. Participate in code reviews and address feedback related to maintainability performance security and coding standards. Support CI/CD pipelines containerized deployments configuration management and cloud environment troubleshooting. Assist with the integration of AI services through governed APIs and standardized interface contracts. Implement role-based access controls and follow enterprise security privacy data-retention and auditability requirements. Create and maintain technical documentation including API specifications deployment instructions support procedures and design notes. Participate in backlog refinement estimation sprint planning demonstrations and retrospectives. Investigate defects and operational issues using logs metrics traces and other platform evidence. Identify technical risks dependencies and blockers and communicate them promptly to the delivery team.