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The candidate should have a strong background in 3DX Configuration, Data Model, Customization (Widget / webservices / Enovia), software development and Devops practices. As a Technical lead, you will be responsible for designing, developing, and implementing 3DX based / microservices-based applications .
He / She would be responsible for designing, developing, and implementing 3DX solutions in BOM, Requirements mgmt., Verification & Validation, Change, Issue management, CAD Data mgmt. space.
Stay up to date with emerging trends and technologies in PLM technologies (3DX/Ennovia with MQL & Webservices APIs).
Experience working with GEN AI models, RAG & Agentic AI frameworks in solving business problems and improving engineering productivity.
Exposure knowledge of microservices architecture, RESTful APIs would be important.
Ford Motor Company (commonly known as Ford) is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903. The company sells automobiles and commercial vehicles under the Ford brand, and luxury cars under its Lincoln luxury brand. Ford also owns Brazilian SUV manufacturer Troller, an 8% stake in Aston Martin of the United Kingdom and a 32% stake in China’s Jiangling Motors. It also has joint ventures in China (Changan Ford), Taiwan (Ford Lio Ho), Thailand (AutoAlliance Thailand), Turkey (Ford Otosan), and Russia (Ford Sollers). The company is listed on the New York Stock Exchange and is controlled by the Ford family; they have minority ownership but the majority of the voting power.
Job ID: 150045937
Skills:
Java, Typescript, Javascript, Rxjs, Sql, Angular
Skills:
Elk, Prometheus, Grafana, Openshift, Helm, Kubernetes, Python, Tekton, GitOps, Kustomize, Go, ArgoCD
Skills:
shell scripting, Docker, Kubernetes, Linux Administration, Git-based source control, Podman, Red Hat OpenShift
Skills:
Devops, Monitoring Tools, Cloud, Python development
Skills:
Algorithms, data structures, architectural design patterns, agile software development lifecycle, testable code, architectural best practices, software reliability engineering, DevOps principles
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