Commodity Senior Engineer #1062697

Dearborn, Michigan Commodity Senior Engineer #1062697

VSSE IT is 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.

• 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, Big Query, 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.
• Dev Ops & 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.