Full Stack Developer

Stefanini

Dearborn, MI, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

HTML Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence BigQuery Cascading Style Sheets (CSS) Cloud Computing Cloud Database Cloud Engineering Cloud Storage Code Review

+46 more

Continuous Integration Data Retrieval Data Structures Software Debugging DevOps Expert Systems Github Python (Programming Language) PostgreSQL Node.Js Performance Tuning Application Data Secure Coding Software Engineering SQL Databases Systems Integration TypeScript Enterprise Data Management RxJS Google Cloud Cloud Platform System Angular Material ReactJS Large Language Models Prompt Engineering Spring-boot Generative AI Firebase Build Server Backend AngularJS Material UI Kubernetes Deployment Automation Google Cloud Functions Graphql Data Management Front End Software Development Api Design NestJS Restful APIs Terraform Code Restructuring Docker Microservices Teamcenter (Software)

Job description

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., End-to-End Application DevelopmentDesign, 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 SDLCUse AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews.

Cloud-Native EngineeringArchitect and implement scalable, resilient solutions on Google Cloud Platform 3.0.Leverage Google Cloud Platform services, as applicable, including:Cloud RunCloud FunctionsApp EngineGKECloud StoragePub/SubFirestoreBigQueryCloud SQLSecret ManagerCloud BuildArtifact RegistryCloud Monitoring

Frontend DevelopmentBuild responsive, intuitive, and performant user interfaces using:Angular architecture patternsRxJSNgRx or other state-management approachesFrontend performance-optimization techniques

Backend DevelopmentDevelop robust backend services and APIs using Spring Boot/Java and Node.js.Ensure scalability, security, and maintainability.

Data Modeling & WorkflowsTranslate complex engineering data structures including BOMs and part/document lifecycle data into usable application data models and workflows.

API Design & MicroservicesDesign and implement RESTful and GraphQL APIs.Develop microservices that support integration across PLM, MCP, and internal systems.

MCP Server IntegrationDevelop 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/CDDeploy infrastructure components using Terraform, orchestrated via Tekton pipelines.Implement CI/CD pipelines using Tekton and GitHub Actions..

Requirements

Skills RequiredGoogle Cloud Platform Cloud Run, PostgreSQL, AIPGEE, Google Cloud Platform, Node.js, Angular, Spring Boot, REST APIs , React, Java, Microservices, Agile Software Development, Artificial Intelligence & Expert Systems , BigQuery

FrontendAngular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component libraries

BackendNode.js, Java, Python, Spring Boot, NestJS, Express, REST API, Microservices

CloudGoogle Cloud Platform, Cloud Run, GKE, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Cloud SQL, Firestore

DevOpsGit, Docker, CI/CD, Cloud Build, Artifact Registry, Kubernetes, Automated deployments

AI/LLMAI coding assistants, Prompt engineering, LLM APIs, Retrieval-augmented generation (RAG), Embeddings, Vector databases, Agentic workflows

Engineering PracticesAgile, Secure coding, API design, Observability, Documentation, Production support

Skills PreferredIntegration, Teamcenter

Experience RequiredProven 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 (Google Cloud Platform), including services such as Cloud Run, Compute Engine, Cloud Storage, and Firestore.

Education RequiredBachelor’s Degree

About the company

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.