GM Financial is looking to change the auto finance industry by modernizing its technology, leveraging data and insights to advance business objectives, and supporting the GM EV mission. This role will help design and implement secure, highly available cloud solutions that power critical business applications.
Requirements
- Proficient in Microsoft Azure (AKS, Functions, Storage, Networking) and Databricks platform administration and optimization.
- Skilled in Infrastructure as Code using Terraform and ARM templates; experienced in scripting with Python and PowerShell for task automation.
- Hands-on experience with Azure DevOps for ML/AI pipeline automation and implementing MLOps tools and frameworks for model lifecycle management.
- Expertise in container technologies including Docker and Kubernetes, particularly for deploying and scaling AI applications.
- Knowledge of provisioning and managing Azure Managed Identities, Service Principal Names (SPNs), and Enterprise Applications to support secure cloud operations.
- Architect secure, scalable AI/ML solutions on Microsoft Azure and AWS, including Databricks clusters for generative AI workloads.
- Develop infrastructure-as-code solutions using Terraform, Azure CLI, PowerShell, Azure DevOps, and other tools to automate deployment and management of cloud environments.
Responsibilities
- Design and Implement Cloud-Based AI/ML Infrastructure
- Automate Infrastructure and Operations
- Enable MLOps and CI/CD Practices
- Configure and Manage Azure AI Services
- Collaborate Across Teams
- Ensure Security and Compliance
- Optimize Cloud Performance and Cost
Other
- Flexible hybrid work environment (onsite 2 days a week/3 days remote) at our Irving, Las Colinas (LAS), TX office.
- Please note: We are unable to provide any type of visa sponsorship for this position now or in the future.
- Bachelor’s Degree in related field or additional equivalent work or military experience required
- Master’s Degree in related field preferred
- 1-3 years of progressive IT experience with specific experience in cloud software development, test automation, system administration, infrastructure/operations or equivalent training required
