Full Stack Engineer (Cloud & AI Focus) at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, PostgreSQL, ElasticSearch, Docker, GCP, CI/CD, AI, Microsoft Graph API, Java, Spring Boot, Angular, ETL, Data Visualization, Communication, Collaboration

Industry

Motor Vehicle Manufacturing

Description

Architect & Build: Design and deploy high-performance, scalable RESTful APIs using Python (FastAPI) and manage data persistence with PostgreSQL and ElasticSearch. Containerize & Deploy: Own your infrastructure decisions. You will containerize applications using Docker/Podman and manage CI/CD pipelines via GCP CloudBuild. Innovate with AI: Lead the charge on integrating Large Language Models (LLMs) and AI Agents into our ecosystem, utilizing frameworks like Google ADK, CrewAI, or others to automate complex business logic. Integrate Ecosystems: Build secure, reliable integrations with external platforms, specifically leveraging MS Graph API to interface with SharePoint document repositories and other data sources Flexible Tech: Be able to work on Java Spring Boot and frontend JavaScript frameworks when needed, ensuring seamless interoperability with our modern stack. Data Engineering: Design ETL pipelines to move and transform data, setting the stage for future data visualization and dashboarding initiatives. Established and active employee resource groups Python Expertise: Strong professional experience with Python, especially with asynchronous frameworks like FastAPI Bachelors degree or equivalent combination of relevant education and experience. Database Proficiency: Deep understanding of relational databases (PostgreSQL) and ideally search engines (ElasticSearch). You know how to write efficient queries and optimize schemas. Cloud-Native Mindset: Hands-on experience with Google Cloud Platform (GCP). You are comfortable interacting with cloud resources programmatically via Terraform. Containerization: Proficiency with Docker / Podman. You understand how to build lean images and orchestrate them in a cloud environment. CI/CD: Experience defining build steps and deployment strategies using tools like CloudBuild, Tekton AI & Agent Frameworks: Experience with (or a burning desire to master) AI orchestration tools like Google ADK, CrewAI, LangGraph, or AutoGPT. Microsoft Integrations: Prior experience working with the Microsoft Graph API or programmatic file management within SharePoint. Building or working on document processing pipelines Experience in knowledge management systems or the legal domain Polyglot Flexibility: Previous experience with Java (Spring Boot) and frontend frameworks like Angular. We don't need a Java or Angular expert, but we need someone able to dip into those technologies when it is called for Data Visualization: Experience building dashboards or handling data transformation (ETL) for analytics. Technical Adaptability: You are comfortable being uncomfortable. You can pick up a new SDK, language, or API documentation and start building immediately. Communication: You can explain complex technical trade-offs to non-technical stakeholders. You ask “Why?” before you ask “How?” High Agency: You don't wait for a ticket to be perfectly defined. You identify bottlenecks, propose solutions, and drive implementation. Collaborative Spirit: You enjoy code reviews, pair programming when necessary, and sharing knowledge with the team.

Responsibilities

Design and deploy high-performance, scalable RESTful APIs and manage data persistence. Lead the integration of AI technologies and build secure integrations with external platforms.