Cloud Architect

2 weeks ago


Charlotte, North Carolina, United States Compunnel Inc. Full time
Job Title: Gen AI Cloud Principal Engineer

Location: Charlotte, NC (Onsite)

Job Summary:

We are seeking a highly skilled Gen AI Cloud Principal Engineer to lead our cloud strategy and drive innovation in cloud computing. As a key member of our team, you will be responsible for designing and implementing scalable, secure, and cost-effective cloud architecture, developing and maintaining cloud strategy, and collaborating with cross-functional engineering teams to define and enable critical cloud services.

Key Responsibilities:

  • Design and implement cloud architecture, including compute, storage, and networking services
  • 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 engineering teams to define and enable critical cloud services
  • 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

Requirements:

Minimum three years' experience with the following:

  • Cloud architecture principles, including compute, storage, and networking services
  • Advanced cloud services, including ML, big data, and serverless computing
  • Major cloud platforms, such as AWS, Azure, and GCP
  • Cloud project planning, including design, deployment, and migration
  • Infrastructure-as-Code (IaC)
  • Containerization and orchestration technologies, such as Docker and Kubernetes
  • Cloud cost management and optimization techniques
  • Azure and/or Google Cloud
  • Kubernetes (Openshift/GKE/AKS)
  • Cloud Storage and Cloud Data warehouse services (GCS/BigQuery)
  • AI cloud services (Vertex AI or AzureML)
  • Big Data and engineering using industry tools, such as Apache Spark
  • Enterprise migrations, such as application, data, and infrastructure

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