Commodity Senior Engineer #1062697

FastTek Global; Dearborn (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

FastTek Global in Dearborn, MI is seeking a Senior Software Engineer with a passion for Lean, Agile practices and AI-enabled delivery of end-to-end full-stack solutions. You will architect and implement across UI, APIs, services, and cloud infrastructure, coordinating with MCP server integrations and PLM data workflows.

The role focuses on frontend development with Angular, backend services using Spring/Java and Node.js, and cloud-native patterns on GCP.

Qualifications

• Extensive experience delivering full-stack software on cloud platforms.
• Proficiency with Angular frontend, Spring/Java backend, and Node.js.
• Experience with AI-enabled development tools and workflows.
• Strong knowledge of GCP services and architectures.

Responsibilities

• Design and deliver full-stack applications spanning UI to data layers.
• Use AI tooling to accelerate SDLC, refactor, debug, and document code.
• Architect cloud-native solutions on GCP using Cloud Run, Functions, App Engine, and more.
• Develop responsive frontend with Angular and manage state with RxJS/NgRx.
• Build backend services with Spring/Java and Node.js for scalable APIs.
• Model engineering data structures (BOMs, lifecycle data) for apps.
• Design RESTful/GraphQL APIs and microservices for PLM/MCP integrations.
• Integrate MCP servers for data retrieval and orchestration.
• Implement Terraform, Tekton pipelines and CI/CD workflows.
• Champion clean code, testing, and secure coding practices.
• Collaborate with product managers and data stakeholders.
• Troubleshoot complex distributed systems and performance issues.

Skills

Full stack development

AI-assisted coding

Lean/Agile practices

Team collaboration

Tools

Angular

RxJS

NgRx

Spring

Java

Node.js

REST APIs

GraphQL

Terraform

Tekton

Github Actions

GCP

Cloud Run/Functions

Job description

Dearborn, Michigan Commodity Senior Engineer #1062697

Position Description:

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.

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.