Senior Teamcenter Integration Developer
Megan Soft, Inc.
Milford Township, MI, United States
21 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Cloud Engineering
Data Transformation
JSON
Service-Oriented Architecture
Software Engineering
Extensible Markup Language (XML)
Google Cloud
Enterprise Software Applications
Delivery Pipeline
Cloud Integration
Api Design
+3 more
Restful APIs
Microservices
Teamcenter (Software)
Job description
We are seeking a Senior Teamcenter Integration Developer to design and implement enterprise-grade integrations between Teamcenter, cloud platforms, and downstream applications. The role will focus on extracting and transforming Teamcenter data into JSON formats, publishing data to GCP Pub/Sub, and developing APIs for data consumption, * Design and develop Teamcenter integrations with enterprise systems.
- Extract and transform Teamcenter data into JSON formats.
- Publish and consume data through Google Cloud Platform (GCP) Pub/Sub.
- Develop RESTful APIs for dispensing Teamcenter data to downstream applications.
- Design scalable integration architectures for PLM ecosystems.
- Collaborate with business, data, and cloud engineering teams.
- Troubleshoot and optimize integration performance.
Requirements
- 10+ years of software development experience.
- Strong expertise in Siemens Teamcenter customization and integration.
- Experience with Teamcenter SOA, ITK, BMIDE, and Active Workspace.
- Strong Java development skills.
- Hands-on experience with REST APIs and microservices.
- Experience with JSON, XML, and data transformation frameworks.
- Experience with GCP services, especially Pub/Sub.
- Strong understanding of PLM data models and system integration patterns.
Preferred Skills
- Automotive or manufacturing industry experience.
- Experience with GCP, PubSub, cloud integration platforms, and DevOps pipelines.
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