3 cloud automation engineer jobs at 3 companies in Flushing, MI

1w
Save
Mark Applied
Hide
Senior Software Engineer – Virtual Cloud Platform
Milford or Austin or Mountain View or Warren
$129k-$198k/yr HybridFull Time
General Motors
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
10+ YOEBachelor's in CS or engineering,10+ years cloud/virtualization/embedded software experience, expertise in cloud platforms, containers, automation, and strong communication.
C, C++, Python, Java, SystemC, Quarkus, SpringBoot, Micronut, CAPL, Azure, AWS, GCP, Docker, Kubernetes, ECS, Singularity, Terraform, Bicep, Azure Service Bus, Azure Event Grid, Azure Event Hubs, GitHub Copilot, Cursor, Glean, Microsoft 365 Copilot, Claude, Vector CANape, CANoe, dSpace SystemDesk, VEOS, AutoVal, Intrepid Vehicle Spy, Jenkins, GitHub Actions, Gerrit, Git
1mo
Save
Mark Applied
Hide
Power Solutions OE Sales, Digitalization & AI Specialist
Farmington Hills, Michigan, United States
HybridFull Time
Bosch
Bosch: Global manufacturer of automotive and industrial engineering technology.
3+ YOEMinimum 3 years in digitalization, data engineering, or AI; strong data engineering and analytics skills (SQL, Python, data modeling); experience with cloud (Microsoft Azure), Databricks, automation, system integration; bachelor’s/master’s in related field; U.S. work authorization required.
SQL, Python, Microsoft Azure, Databricks, CRM, ERP
1mo
Save
Mark Applied
Hide
AI & Data Solutions Analyst – Technical Safety & Regulatory Compliance
Auburn Hills, Michigan, United States
OnsiteFull Time
Stellantis
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
7+ YOEBachelor's in CS/Engineering or related, 7+ years in data analytics/AI, experience with Power BI, Palantir, Power Apps/Automate; strong analytical, problem-solving, and governance skills; cloud, Python/SQL and regulatory experience preferred.
Microsoft Power BI, Palantir, Microsoft Power Apps, Microsoft Power Automate, Python, SQL, Microsoft Azure, Google Cloud Platform, Amazon Web Services