Summary
✨ AI‑Generated
A technology-focused organization is seeking an experienced full stack developer to design and deliver enterprise applications. The role covers frontend, backend, cloud services, data integration, and modern AI-enabled solutions.
Highlights
Senior technical role with ownership across the full software lifecycle, opportunities to work with modern technologies, and involvement in enterprise-scale solutions.
Description
Position: Lead Java Fullstack Developer
Location: Livonia, MI.
(4 days Onsite)
Duration: 12 Months +
Need Only W2 Candidates.
Only 10+ Years experience will be considered.
Position Description:
We are seeking an exceptionally skilled and forward-thinking Senior Software Engineer who embraces Lean, 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 to backend services to cloud infrastructure and integrating AI enabled data platforms while also bringing domain familiarity with PLM ecosystems and engineering data platforms.
Key Responsibilities End-to-End Application Development: Design, develop, test, and deploy full stack applications spanning UI, APIs, services, and data layers, owning 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, leveraging GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable.
Frontend Development: Build responsive, intuitive, and performant user interfaces using Angular architecture patterns, RxJS, NgRx or other state management approaches, and frontend performance optimization.
Backend Development: Develop robust backend services and APIs using Spring (Java) and Node.js, ensuring scalability, security, and maintainability.
Data Modeling & Workflows: Translate complex engineering data structures (BOMs, part/document lifecycle data) into usable application data models and workflows.
API Design & Microservices: Design and implement RESTful/GraphQL APIs and 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, ensuring 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.
Code Quality & Best Practices: Champion clean code, automated testing, code reviews, and secure coding practices across the team.
Cross-Functional Collaboration: Work closely with product managers, architects, and engineering data stakeholders to translate business requirements into technical solutions.
Troubleshooting & Support: Diagnose and resolve complex integration and performance issues across distributed systems.
Mentorship: Provide technical guidance and mentorship to junior/mid-level engineers.
Skills Required:
GCP Cloud Run, PostgreSQL, AIPGEE, GCP, Node.js, Angular, Spring Boot, REST APIs, React, Java, Microservices, Agile Software Development, Artificial Intelligence & Expert Systems, Big Query
Skills Preferred:
Integration, Teamcenter
