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Machine Learning Technologies, LLC seeks an experienced PLM Teamcenter Infrastructure Lead to oversee Siemens Teamcenter infrastructure administration, installation, configuration, upgrades, and production support in Santa Clara, CA. The candidate will manage Teamcenter architectures and enterprise environments.
You will handle installation, upgrades, patching, and environment maintenance, and operate 2-Tier, 4-Tier, and distributed architectures, plus Teamcenter Server, Web Tier, FMS/FSC,
We are looking for an experienced PLM Teamcenter Infrastructure Lead with strong expertise in Siemens Teamcenter infrastructure administration, installation, configuration, upgrades, and production support. The candidate should have hands-on experience managing Teamcenter architectures, application components, and enterprise environments.
Manage Siemens Teamcenter infrastructure administration and support.
Perform Teamcenter installation, configuration, upgrades, patching, and environment maintenance.
Manage and support 2-tier, 4-tier, and distributed server architectures.
Administer Teamcenter Server, Web Tier, FMS/FSC, Dispatcher, and Active Workspace infrastructure.
Handle BMIDE deployments and environment/configuration management.
Support Teamcenter application infrastructure and resolve environment-related issues.
Coordinate infrastructure maintenance and upgrades across Teamcenter environments.
Teamcenter Installation, Configuration, Upgrades, and Patching.
2-Tier, 4-Tier, and Distributed Server Architectures.
Teamcenter Server and Web Tier.
File Management System (FMS/FSC).
Teamcenter Dispatcher.
Active Workspace Infrastructure.
BMIDE Deployment.
Environment and Configuration Management.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.