Deliverables:
- The Resources will provide expert support for the Government of Ontarios public cloud environments primarily Azure and AWS.
- They will design secure scalable solutions assist with complex migrations from on-premise infrastructure and develop infrastructure-as-code pipelines to automate provisioning.
- Resources will also support monitoring and reporting to improve visibility into performance and compliance.
- Familiarity with Identity and Access Management and ITS service integration will help ensure secure access across platforms.
- Their expertise will be key to sustaining operations and advancing cloud capabilities including AI integration.
Key Responsibilities:
- Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code.
- Integrate and secure cloud services to support application modernization and platform resilience.
- Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI.
- Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture.
- Contribute to product planning service documentation process optimization and internal communication strategies.
Requirements
Experience and Skill Set Requirements:
Must Haves:
- Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code.
- Integrate and secure cloud services to support application modernization and platform resilience.
- Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI.
- Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture.
- Contribute to product planning service documentation process optimization and internal communication strategies.
Skill Set Requirements:
Deploy and Design:
The candidate must have advanced design and implementation knowledge for Azure or AWS
- Compute: Azure Virtual Machines AKS App Services
- Networking: VNet NSG Load Balancer Front Door ExpressRoute
- Storage: Blob Files Data Lake
- Identity & Security: Azure AD RBAC Key Vault Policies
- Monitoring: Azure Monitor Log Analytics
- Automation: ARM Templates Bicep Terraform
- Data Services: Azure SQL Synapse Cosmos DB
- CI/CD: Azure DevOps GitHub Actions
- Cost Management: Azure Cost Analysis Reservations
- Data skills for AI familiar with data bricks fabric
- Know ledge vector embeddings chunking strategies
- LLM integration experience and knowledge
Or
- Compute: EC2 ECS EKS Lambda
- Networking: VPC Route 53 ALB/NLB Direct Connect
- Storage: S3 EBS EFS Glacier
- Identity & Security: IAM KMS Secrets Manager
- Monitoring: CloudWatch X-Ray
- Automation: CloudFormation Terraform
- Data Services: RDS DynamoDB Redshift
- CI/CD: CodePipeline CodeBuild
- Data skills for AI experience with data bricks know ledge vector embeddings
- LLM integration experience and knowledge
Nice to have GCP and OCI:
- Compute Engine (VMs) Google Kubernetes Engine (GKE)
- VPC design subnets firewall rules Cloud Load Balancing
- Hybrid connectivity (Cloud VPN Interconnect)
- Cloud Storage (buckets lifecycle policies)
- BigQuery (data warehouse) Cloud SQL Firestore
- Dataflow and Pub/Sub for streaming and ETL
- Load Balancer and FastConnect for hybrid connectivity
- OCI Identity Domains and IAM policies
- Dynamic groups and resource principals
- Cost Management: AWS Cost Explorer Savings Plan
Security:
Microsoft Entra
- Entra Permissions Management (CIEM)
- Entra Verified ID (Decentralized Identity)
- Advanced governance with Identity Protection
Conditional Access Mastery:
- Complex policy design for multiple apps and roles
- Integration with Intune for device compliance
- Policy simulation and troubleshooting
Threat Detection & Response:
- Microsoft Sentinel (SIEM) deployment and playbooks
- Defender for Identity integration
- Zero Trust Architecture
- Implementing Zero Trust principles across identity network and endpoints
Automation & Governance:
- Automating security policies with PowerShell and Graph API
- Azure Blueprints for compliance frameworks (ISO NIST CIS)
Project:
- Stakeholder engagement and requirement gathering
- Risk assessment and mitigation strategies
- Vendor and third-party integration management
- Leading technical teams through design and build phases
- Strong communication for reporting
- Decision-making under constraints
- Mentoring and knowledge transfer
Required Skills:
Experience and Skill Set Requirements: Must Haves: Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code. Integrate and secure cloud services to support application modernization and platform resilience. Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI. Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture. Contribute to product planning service documentation process optimization and internal communication strategies. Skill Set Requirements: Deploy and Design: The candidate must have advanced design and implementation knowledge for Azure or AWS Compute: Azure Virtual Machines AKS App Services Networking: VNet NSG Load Balancer Front Door ExpressRoute Storage: Blob Files Data Lake Identity & Security: Azure AD RBAC Key Vault Policies Monitoring: Azure Monitor Log Analytics Automation: ARM Templates Bicep Terraform Data Services: Azure SQL Synapse Cosmos DB CI/CD: Azure DevOps GitHub Actions Cost Management: Azure Cost Analysis Reservations Data skills for AI familiar with data bricks fabric Know ledge vector embeddings chunking strategies LLM integration experience and knowledge Or Compute: EC2 ECS EKS Lambda Networking: VPC Route 53 ALB/NLB Direct Connect Storage: S3 EBS EFS Glacier Identity & Security: IAM KMS Secrets Manager Monitoring: CloudWatch X-Ray Automation: CloudFormation Terraform Data Services: RDS DynamoDB Redshift CI/CD: CodePipeline CodeBuild Data skills for AI experience with data bricks know ledge vector embeddings LLM integration experience and knowledge Nice to have GCP and OCI: Compute Engine (VMs) Google Kubernetes Engine (GKE) VPC design subnets firewall rules Cloud Load Balancing Hybrid connectivity (Cloud VPN Interconnect) Cloud Storage (buckets lifecycle policies) BigQuery (data warehouse) Cloud SQL Firestore Dataflow and Pub/Sub for streaming and ETL Load Balancer and FastConnect for hybrid connectivity OCI Identity Domains and IAM policies Dynamic groups and resource principals Cost Management: AWS Cost Explorer Savings Plan Security: Microsoft Entra Entra Permissions Management (CIEM) Entra Verified ID (Decentralized Identity) Advanced governance with Identity Protection Conditional Access Mastery: Complex policy design for multiple apps and roles Integration with Intune for device compliance Policy simulation and troubleshooting Threat Detection & Response: Microsoft Sentinel (SIEM) deployment and playbooks Defender for Identity integration Zero Trust Architecture Implementing Zero Trust principles across identity network and endpoints Automation & Governance: Automating security policies with PowerShell and Graph API Azure Blueprints for compliance frameworks (ISO NIST CIS) Project: Stakeholder engagement and requirement gathering Risk assessment and mitigation strategies Vendor and third-party integration management Leading technical teams through design and build phases Strong communication for reporting Decision-making under constraints Mentoring and knowledge transfer
Deliverables:The Resources will provide expert support for the Government of Ontarios public cloud environments primarily Azure and AWS.They will design secure scalable solutions assist with complex migrations from on-premise infrastructure and develop infrastructure-as-code pipelines to automate pr...
Deliverables:
- The Resources will provide expert support for the Government of Ontarios public cloud environments primarily Azure and AWS.
- They will design secure scalable solutions assist with complex migrations from on-premise infrastructure and develop infrastructure-as-code pipelines to automate provisioning.
- Resources will also support monitoring and reporting to improve visibility into performance and compliance.
- Familiarity with Identity and Access Management and ITS service integration will help ensure secure access across platforms.
- Their expertise will be key to sustaining operations and advancing cloud capabilities including AI integration.
Key Responsibilities:
- Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code.
- Integrate and secure cloud services to support application modernization and platform resilience.
- Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI.
- Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture.
- Contribute to product planning service documentation process optimization and internal communication strategies.
Requirements
Experience and Skill Set Requirements:
Must Haves:
- Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code.
- Integrate and secure cloud services to support application modernization and platform resilience.
- Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI.
- Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture.
- Contribute to product planning service documentation process optimization and internal communication strategies.
Skill Set Requirements:
Deploy and Design:
The candidate must have advanced design and implementation knowledge for Azure or AWS
- Compute: Azure Virtual Machines AKS App Services
- Networking: VNet NSG Load Balancer Front Door ExpressRoute
- Storage: Blob Files Data Lake
- Identity & Security: Azure AD RBAC Key Vault Policies
- Monitoring: Azure Monitor Log Analytics
- Automation: ARM Templates Bicep Terraform
- Data Services: Azure SQL Synapse Cosmos DB
- CI/CD: Azure DevOps GitHub Actions
- Cost Management: Azure Cost Analysis Reservations
- Data skills for AI familiar with data bricks fabric
- Know ledge vector embeddings chunking strategies
- LLM integration experience and knowledge
Or
- Compute: EC2 ECS EKS Lambda
- Networking: VPC Route 53 ALB/NLB Direct Connect
- Storage: S3 EBS EFS Glacier
- Identity & Security: IAM KMS Secrets Manager
- Monitoring: CloudWatch X-Ray
- Automation: CloudFormation Terraform
- Data Services: RDS DynamoDB Redshift
- CI/CD: CodePipeline CodeBuild
- Data skills for AI experience with data bricks know ledge vector embeddings
- LLM integration experience and knowledge
Nice to have GCP and OCI:
- Compute Engine (VMs) Google Kubernetes Engine (GKE)
- VPC design subnets firewall rules Cloud Load Balancing
- Hybrid connectivity (Cloud VPN Interconnect)
- Cloud Storage (buckets lifecycle policies)
- BigQuery (data warehouse) Cloud SQL Firestore
- Dataflow and Pub/Sub for streaming and ETL
- Load Balancer and FastConnect for hybrid connectivity
- OCI Identity Domains and IAM policies
- Dynamic groups and resource principals
- Cost Management: AWS Cost Explorer Savings Plan
Security:
Microsoft Entra
- Entra Permissions Management (CIEM)
- Entra Verified ID (Decentralized Identity)
- Advanced governance with Identity Protection
Conditional Access Mastery:
- Complex policy design for multiple apps and roles
- Integration with Intune for device compliance
- Policy simulation and troubleshooting
Threat Detection & Response:
- Microsoft Sentinel (SIEM) deployment and playbooks
- Defender for Identity integration
- Zero Trust Architecture
- Implementing Zero Trust principles across identity network and endpoints
Automation & Governance:
- Automating security policies with PowerShell and Graph API
- Azure Blueprints for compliance frameworks (ISO NIST CIS)
Project:
- Stakeholder engagement and requirement gathering
- Risk assessment and mitigation strategies
- Vendor and third-party integration management
- Leading technical teams through design and build phases
- Strong communication for reporting
- Decision-making under constraints
- Mentoring and knowledge transfer
Required Skills:
Experience and Skill Set Requirements: Must Haves: Maintain and enhance cloud environment configurations and delivery pipelines through infrastructure-as-code. Integrate and secure cloud services to support application modernization and platform resilience. Develop and refine reusable technology patterns for IaaS PaaS SaaS and emerging capabilities like generative AI. Advance GoCLOUD product maturity by implementing roadmap-driven features and supporting target architecture. Contribute to product planning service documentation process optimization and internal communication strategies. Skill Set Requirements: Deploy and Design: The candidate must have advanced design and implementation knowledge for Azure or AWS Compute: Azure Virtual Machines AKS App Services Networking: VNet NSG Load Balancer Front Door ExpressRoute Storage: Blob Files Data Lake Identity & Security: Azure AD RBAC Key Vault Policies Monitoring: Azure Monitor Log Analytics Automation: ARM Templates Bicep Terraform Data Services: Azure SQL Synapse Cosmos DB CI/CD: Azure DevOps GitHub Actions Cost Management: Azure Cost Analysis Reservations Data skills for AI familiar with data bricks fabric Know ledge vector embeddings chunking strategies LLM integration experience and knowledge Or Compute: EC2 ECS EKS Lambda Networking: VPC Route 53 ALB/NLB Direct Connect Storage: S3 EBS EFS Glacier Identity & Security: IAM KMS Secrets Manager Monitoring: CloudWatch X-Ray Automation: CloudFormation Terraform Data Services: RDS DynamoDB Redshift CI/CD: CodePipeline CodeBuild Data skills for AI experience with data bricks know ledge vector embeddings LLM integration experience and knowledge Nice to have GCP and OCI: Compute Engine (VMs) Google Kubernetes Engine (GKE) VPC design subnets firewall rules Cloud Load Balancing Hybrid connectivity (Cloud VPN Interconnect) Cloud Storage (buckets lifecycle policies) BigQuery (data warehouse) Cloud SQL Firestore Dataflow and Pub/Sub for streaming and ETL Load Balancer and FastConnect for hybrid connectivity OCI Identity Domains and IAM policies Dynamic groups and resource principals Cost Management: AWS Cost Explorer Savings Plan Security: Microsoft Entra Entra Permissions Management (CIEM) Entra Verified ID (Decentralized Identity) Advanced governance with Identity Protection Conditional Access Mastery: Complex policy design for multiple apps and roles Integration with Intune for device compliance Policy simulation and troubleshooting Threat Detection & Response: Microsoft Sentinel (SIEM) deployment and playbooks Defender for Identity integration Zero Trust Architecture Implementing Zero Trust principles across identity network and endpoints Automation & Governance: Automating security policies with PowerShell and Graph API Azure Blueprints for compliance frameworks (ISO NIST CIS) Project: Stakeholder engagement and requirement gathering Risk assessment and mitigation strategies Vendor and third-party integration management Leading technical teams through design and build phases Strong communication for reporting Decision-making under constraints Mentoring and knowledge transfer
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