Senior DevOps Engineer

• This position will work closely with the Product Performance and Data and Analytics (DNA) teams on the Manufacturing Traceability (MFGT) project. They will be responsible for enabling GCP Infrastructure in both the AI and Data Analytics space, performing architectural design, review, and implementation via Terraform Cloud.
• Enable technologies and support customer through operational readiness in DNA wrangle development environment
• Enable and support Spanner in mfg-dataanalytics and DNA wrangle environment.
• Enable Notebooks/DBT Python in DNA projects
• Enable GCP mfg-dataanalytics project to support Product Performance team innovation.
• Create and update Product Performance sandbox environments as necessary, cyclically improving and implementing based on customer demand.
• Assist in building DNA “Medallion Leveling” templates
• Assist in Landing Zone phase 2 enablement including implementation of AI feature flags, enhanced AI service templates, and create AI example sandboxes
• Work with Cloud Platform team to develop and implement “lab” level environment strategy

Terraform Cloud for Business - 3 years minimum GCP Agentic AI development support - 2 yrs. GCP platform engineering - 5+ years

Nice to have: Cloud architecture and design - 5+ years Data Analytics support - 3+ years Scrum/Agile workflow expertise - 5+ years