[Hiring] Full Stack Engineer @Ford

Role Description

This role involves designing and deploying high-performance, scalable RESTful APIs and managing data persistence.

• 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.

Qualifications

• Bachelor's degree or equivalent combination of relevant education and experience.
• Strong professional experience with Python, especially with asynchronous frameworks like FastAPI.
• Deep understanding of relational databases (PostgreSQL) and ideally search engines (ElasticSearch).
• Hands-on experience with Google Cloud Platform (GCP).
• Proficiency with Docker / Podman.
• Experience defining build steps and deployment strategies using tools like CloudBuild, Tekton.
• Experience with AI orchestration tools like Google ADK, CrewAI, LangGraph, or AutoGPT.
• Prior experience working with the Microsoft Graph API or programmatic file management within SharePoint.
• Previous experience with Java (Spring Boot) and frontend frameworks like Angular.
• Experience building dashboards or handling data transformation (ETL) for analytics.

Requirements

• You know how to write efficient queries and optimize schemas.
• You are comfortable interacting with cloud resources programmatically via Terraform.
• You understand how to build lean images and orchestrate them in a cloud environment.
• You have experience in knowledge management systems or the legal domain.
• You are comfortable being uncomfortable and can pick up a new SDK, language, or API documentation and start building immediately.
• You can explain complex technical trade-offs to non-technical stakeholders.
• You don't wait for a ticket to be perfectly defined; you identify bottlenecks, propose solutions, and drive implementation.
• You enjoy code reviews, pair programming when necessary, and sharing knowledge with the team.