Develop high-performance backend services using Java and Node.js, create dynamic user interfaces with React, and ensure code quality with comprehensive tests. Champion Agile practices and manage API security while optimizing AI features.
As a Senior Full Stack Engineer, you will play a pivotal role in developing high-performance, secure, and maintainable software solutions. You are a "Clean Code" practitioner who believes that writing code is a craft, ensuring every line is testable and efficient. This role requires a deep understanding of the full software development lifecycle—from local development and automated testing to managing production-grade services using Ford-standard security and quality tools.
Responsibilities- Full Stack Engineering: Develop enterprise-ready backend services using Java Spring Boot and Node.js, while building high-performance, dynamic user interfaces in React.
- AI Feature Development: Implement and optimize RAG architectures and utilize MCP to create seamless connections between AI models and diverse data sources.
- Engineering Excellence: Champion Clean Code aspects and write comprehensive test cases (unit, integration, and E2E) to ensure 100% confidence in production deployments.
- API Management & Security: Design, secure, and manage APIs using Apigee, ensuring every endpoint is hardened using 42Crunch and compliant via FOSSA.
- Agile Collaboration: Actively participate in all Agile ceremonies, delivering high-value features in a fast-paced, iterative production environment.
- Production Support: Take ownership of code running in production, monitoring performance, and ensuring high availability for global users.
- Experience: Minimum 3 years of professional experience in full-stack software development.
- Backend Mastery: Deep expertise in Java and Spring Boot (Data, Security, Cloud) and experience building server-side applications with Node.js.
- Frontend Mastery: Advanced proficiency in React.js, including hooks, context API, and modern CSS frameworks (Tailwind/Material UI).
- AI Specialization: Proven hands-on experience with LLMs, implementing RAG (using Vector Databases), and familiarity with Model Context Protocol (MCP).
- Database Knowledge: Strong experience with both Relational (PostgreSQL/Oracle) and NoSQL (MongoDB/Redis) databases.
- Ford Toolset: Direct experience with Apigee, 42Crunch, FOSSA, and SonarQube.
- Cloud & DevOps: Experience with cloud platforms (GCP)
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Top Skills
42Crunch
Agile
Apigee
Fossa
GCP
Java Spring Boot
Mcp
MongoDB
Node.js
Oracle
Postgres
Rag
React
Redis
Sonarqube
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