GenAI Cloud Principal Engineer

Responsibilities:

• 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

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 Google Cloud Platform

• 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

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)