Full Stack Developer

Stefanini GroupDearborn, MI
Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a Full Stack Developer, Dearborn, MI. We are seeking a Full Stack Developer who embraces Lean and Agile practices and uses AI to accelerate delivery of innovative, end-to-end full-stack software solutions that integrate enterprise data platforms and PLM systems through MCP servers. As a key architect and implementer, you will work across the entire software stack—from front-end UI and backend services to cloud infrastructure—while integrating AI-enabled data platforms and bringing domain familiarity with PLM ecosystems and engineering data platforms.

Requirements

  • GCP Cloud Run, PostgreSQL, AIPGEE, GCP, Node.js, Angular, Spring Boot, REST APIs , React, Java, Microservices, Agile Software Development, Artificial Intelligence & Expert Systems , BigQuery
  • Frontend Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries
  • Backend Node.js, Java, Python, Spring Boot, NestJS, Express, REST API, Microservices
  • Cloud Google Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore
  • DevOps Git, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, Automated deployments
  • AI/LLM AI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows
  • Engineering Practices Agile, Secure coding, API design, Observability, Documentation, Production support
  • Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong portfolio of delivered projects.
  • Deep proficiency in Java and extensive experience with cloud-native architecture and applications.
  • Experience with microservice architecture and hands-on experience building and consuming REST APIs, FAST APIs, and Stream APIs.
  • Hands-on experience with SQL and PostgreSQL, including table design, creation, and modification.
  • Experience integrating with PLM products, including Teamcenter and 3DX.
  • Strong practical experience deploying and managing applications on Google Cloud Platform (GCP), including services such as Cloud Run, Compute Engine, Cloud Storage, and Firestore.
  • Bachelor's Degree

Nice To Haves

  • Integration
  • Teamcenter

Responsibilities

  • End-to-End Application Development: Design, develop, test, and deploy full-stack applications spanning UI, APIs, services, and data layers. Own features from concept through production.
  • AI-Accelerated Software Development Across the SDLC: Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews.
  • Cloud-Native Engineering: Architect and implement scalable, resilient solutions on GCP 3.0. Leverage GCP services, as applicable, including: Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, Cloud Monitoring.
  • Frontend Development: Build responsive, intuitive, and performant user interfaces using: Angular architecture patterns, RxJS, NgRx or other state-management approaches, Frontend performance-optimization techniques.
  • Backend Development: Develop robust backend services and APIs using Spring Boot/Java and Node.js. Ensure scalability, security, and maintainability.
  • Data Modeling & Workflows: Translate complex engineering data structures—including BOMs and part/document lifecycle data—into usable application data models and workflows.
  • API Design & Microservices: Design and implement RESTful and GraphQL APIs. Develop microservices that support integration across PLM, MCP, and internal systems.
  • MCP Server Integration: Develop and maintain integrations with MCP (Model Context Protocol) servers that house engineering data artifacts. Ensure reliable, secure, and performant data retrieval and orchestration.
  • DevOps & CI/CD: Deploy infrastructure components using Terraform, orchestrated via Tekton pipelines. Implement CI/CD pipelines using Tekton and GitHub Actions.
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