Full Stack Software Engineer (PLM Focus)

Senior Software EngineerOur client 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 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 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 & 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.Required Skills & Qualifications:Proven experience of 10+ years as a Senior Software Engineer with Full Stack expertise with a strong portfolio of delivered projects.Deep proficiency in Java and extensive experience with the cloud native architecture and with microservice architecture and hands-on experience with building and consuming RESTful APIs, FAST APIs and Stream APIs.Hands—on experience with SQL, PostgreSQL, including table design, creation, and integrating with PLM products - Teamcenter and 3DX Strong practical experience deploying and managing applications on Google Cloud Platform (GCP). This could include experience with services like Cloud Run, Compute Engine, Cloud Storage, Firestore etc.Frontend: Angular, TypeScript, HTML, CSS/SCSS, RxJS, NgRx, Angular Material or similar component librariesBackend: Node.js, Java, Python, Spring Boot, NestJS, Express, REST APIs, 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 deploymentsAI/LLM: AI coding assistants, prompt engineering, LLM APIs, RAG, embeddings, vector databases, agentic workflowsEngineering Practices: Agile, secure coding, API design, observability, documentation, production supportSkills Required:GCP Cloud Run, PostgreSQL, APIGEE, GCP, Node.js, Angular, Spring Boot, REST APIs, React, Java, Microservices, Agile Software Development, Artificial Intelligence & Expert Systems, Big QuerySkills Preferred:Integration, TeamcenterExperience Required:Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides.10+ years in IT8+ years in developmentEducation Required:Bachelor's DegreeAdditional Information :Hybrid Position / 4 days onsiteEEO Employer