Role : Gen AI Cloud Principle
Location : Charlotte NC (Day 1 Onsite)
Preferred Skills
- 3+ years of experience with Azure and/or Google Cloud
- 3+ years of experience with Kubernetes (OpenShift/GKE/AKS)
- 3+ years of experience with Cloud Storage and Cloud Data warehouse services (GCS/BigQuery)
- Advanced knowledge of AI cloud services (Vertex AI or AzureML)
- Experience with Big Data and engineering using industry tools (e.g. Apache Spark)
- Experience with enterprise migrations (e.g. application, data, infrastructure)
Minimum Required Skills
- Strong understanding of cloud architecture principles including compute, storage, and networking services
- Experience with advanced cloud services including ML, big data, and serverless computing
- Extensive experience with major cloud platforms such as AWS, Azure, and GCP
- Experience leading cloud project planning such as design, deployment, and migration
- Hands-on experience with Infrastructure-as-Code (IaC)
- Experience with advanced cloud services including ML, big data, and serverless computing
- Strong knowledge of containerization and orchestration technologies (docker and Kubernetes)
- Familiarity with cloud cost management and optimization techniques
Design and implement scalable, secure and cost-effiective cloud architecture
- Develop and maintain cloud strategy including adoption plans and migration strategies
- Assess existing infrastructure and recommend improvements, upgrades, and optimizations for the AI cloud platform
- Collaborate with cross-functional engineering teams to define and enable critical cloud services for AI platform.
- Evaluate and recommend cloud services and technologies based on organizational requirements and industry trends
- Lead cloud migration projects, including planning, execution, and post-migration support
- Provide guidance and mentorship to development teams on cloud architecture principles and best practices