Job Description :

Relative to day to day CCoE work:

  1. AWS account and GCP project administration experience.
    1. Includes AWS Organizations and Control Tower experience.
    2. Includes creating and revising cloud roles and permissions as needed.
    3. Includes knowledge of using Azure AD SSO for cloud user authentication.
  2. Ability to remotely work in a small CCoE core team in Las Vegas.
  3. Cost management experience to identify and propose ways to reduce cost where possible.
  4. Process and standards development both for within CCoE and for the wider cloud community in the company.
    1. Includes automation and service configuration to enforce standards where possible.
  5. Cloud certifications are obviously a plus.

To help with Analytics/AI/ML projects across the company:

  1. Data Lake experience:
    1. AWS Data Lake service and structuring a central data lake for use by multiple business units with overlapping data in some cases.
    2. Using AWS Glue to process and cleanse raw data uploaded to the data lake into normalized, consistent data in Parquet, csv, and/or Excel format in the data lake.
    3. Analyzing data lake input objects to identify common schema to merge data from different sources where that makes sense for the business.
    4. Managing data lake storage using storage tiering, life cycle policies, etc. to reduce cost where possible.
    5. A plus would be experience with streaming data into the data lake using services like AWS Kinesis).
  2. Data Warehouse experience:
    1. AWS RedShift setup and administration.
      1. Redshift cluster may be used by a number of different business units, especially where their data is similar/related.
    2. Database schema design.
    3. Using AWS Glue or other services to load data into Redshift from a data lake.
    4. Developing DW reports and/or training people how to do it themselves.
    5. Past experience with more optimal ways to allocate RedShift cost where multiple areas share a common cluster.
  3. AI/ML experience:
    1. AWS SageMaker IDE and related tools.
    2. Machine Learning model development experience.
    3. Coordinating data lake source data flowing into AI/ML projects.
    4. Consulting with AI/ML projects in various business units.
  4. Back end data access and reporting infrastructure experience:
    1. Providing Tableau, Power BI, etc. tools access to processed data stores.
    2. Triggering events for specific, identified conditions to drive automated actions.

To help with cloud migrations, labs, development, etc.:

  1. Consulting with areas to develop Infrastructure-as-Code to make deployments repeatable, faster, and with far less time required than on-prem scripted deployments and manual steps.
    1. Preference is Terraform, but CloudFormation acceptable if workload will always be deployed to AWS.
  2. Consulting with areas to develop cloud cost estimates for migrating workloads. (Preference is to POC on cloud to get actual costs where possible.)
  3. Consulting with areas on cloud native technologies and designs to take better advantage of cloud.
    1. Includes steps for an existing application to reach a more cloud native design over time.
    2. Includes considering portability where the cloud provider used, or even on-prem in some cases, must vary by deployment based on customer and regulatory requirements.

Specific AWS technology experience desired:

  1. EC2
  2. Lambda
  3. AWS Outpost
  4. EC2 Image Builder
  5. Elastic Kubernetes Service
  6. Elastic Container Registry
  7. S3
  8. EFS
  9. AWS Backup
  10. RDS (Aurora, SQL Server, PostgreSQL)
  11. DynamoDB
  12. ElastiCache
  13. Database Migration Service
  14. VPC
  15. CloudFront
  16. Route 53
  17. API Gateway
  18. Direct Connect
  19. Organizations
  20. CloudWatch
  21. CloudFormation
  22. CloudTrail
  23. Config
  24. Trusted Advisor
  25. Control Tower
  26. AWS Well-Architected Tool (and the framework it supports)
  27. AWS Compute Optimizer
  28. AWS Proton
  29. Athena
  30. Amazon RedShift
  31. Kinesis
  32. QuickSight
  33. AWS Glue
  34. AWS Lake Formation
  35. IAM
  36. Resource Access Manager
  37. Cognito
  38. GuardDuty
  39. AWS Single Sign-On
  40. Certificate Manager
  41. Key Management Service
  42. WAF & Shield
  43. AWS Firewall Manager
  44. AWS Cost Explorer
  45. Simple Notification Service
  46. Simple Queue Service
  47. Simple Email Service
  48. WorkSpaces

Specific GCP technology experience desired:

  1. App Engine
  2. Compute Engine
  3. Cloud Storage
  4. Cloud CDN
  5. Cloud DNS
  6. Cloud VPN
  7. Google Cloud Armor
  8. Virtual Private Cloud
  9. Cloud Logging
  10. Cloud Monitoring
  11. Cloud Profiler
  12. BigQuery
  13. API Gateway
  14. Security Command Center
  15. VPC Service Controls
  16. BeyondCorp Enterprise
  17. Google Cloud Identity-Aware Proxy
  18. IAM
  19. Cloud Run
  20. Cloud Functions
  21. Google Kubernetes Engine


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