Position Name – Cloud Security Architect Type of hiring – Fulltime/ Contract Location – Markham, ON (Hybrid - 3 days’ work from office) Top Capability skills required AWS Architect AWS Security SME IT security background Job Description: The Senior AWS Cloud Security Architect is responsible for designing, implementing, and governing secure, compliant, and resilient AWS environments across multi-account cloud infrastructures. You will lead the architecture and automation of identity, data protection, threat detection, and network segmentation controls across the AWS ecosystem. Key Responsibilities: Design and implement secure landing zones using AWS Control Tower, AWS Organizations, and Service Control Policies (SCPs). Define multi-account security guardrails for shared services, workloads, and sandbox environments. Create reference architectures covering security zones, network segmentation, and cross-account communication (PrivateLink, AWS WAN). Lead threat modelling and risk assessments for new workloads and services (Lambda, ECS, EC2, S3, RDS, DynamoDB, etc.). Develop security-by-design templates integrated into Infrastructure as Code (IaC) pipelines. Partner with compliance teams to maintain continuous alignment with CIS Benchmarks and organizational risk frameworks. Implement federated access and single sign-on with AWS IAM Identity Center (AWS SSO), Okta, and Azure AD. Manage cross-account roles, STS trust policies, and temporary credentials for developers and third parties. Automate secret and credential rotation with AWS Secrets Manager and AWS Systems Manager Parameter Store. Enforce encryption at rest using AWS KMS, CloudHSM, and envelope encryption patterns. Ensure encryption in transit (TLS 1.2/1.3) across internal and public endpoints. Manage key rotation, cross-region replication, and HSM-based root of trust. Implement S3 Object Lock, Macie for data discovery and classification, and Access Points for fine-grained data access. Implement PrivateLink, AWS WAN, and Route 53 Resolver endpoints for service-to-service isolation. Configure Web Application Firewall (WAF) and AWS Shield Advanced for DDoS mitigation. Enforce egress control through Cloud NAT, AWS Gateway Load Balancer (GWLB), or custom proxies. Deploy and integrate AWS Security Hub, GuardDuty, Macie, and Inspector for proactive threat detection. Configure Amazon Detective for forensic investigation and anomaly correlation. Integrate findings into SIEM/SOAR platforms such as FortiSOAR, or Azure Sentinel. Automate response playbooks with AWS Step Functions, Lambda, and SNS alerts. Implement AWS Config rules and Conformance Packs to enforce compliance (e.g., CIS AWS Foundations Benchmark). Use AWS Artifact for vendor assurance and control documentation. Manage compliance dashboards via Security Hub, Trusted Advisor, and Control Tower drift detection. Core AWS Security & Supporting Services Identity & Access Management: IAM, IAM Identity Center (SSO), AWS Organizations, Access Analyzer, Cognito, Resource Access Manager (RAM), Directory Service. Encryption & Key Management: KMS, CloudHSM, Secrets Manager, SSM Parameter Store, Certificate Manager (ACM), Private CA. Network & Perimeter Security : Network Firewall, WAF, Shield (Standard & Advanced), PrivateLink, AWS WAN, Route 53 Resolver, Network Load Balancer, Application Load Balancer. Threat Detection & Monitoring : GuardDuty, Detective, Security Hub, Inspector, Macie, CloudTrail, Config, CloudWatch, CloudWatch Logs, CloudWatch Metrics. Compliance & Governance : Audit Manager, Artifact, Control Tower, Trusted Advisor, Config Conformance Packs, Service Catalog, Organizations SCPs. Data Protection : S3 Object Lock, Macie, Lake Formation, DLP integrations, S3 Access Points. Vulnerability & Posture Management : Inspector (EC2, ECR, Lambda), Trusted Advisor, Config, Security Hub. Application & Container Security : ECR image scanning, ECS task IAM roles, Lambda least privilege, Secrets Manager, API Gateway authorization. Incident Response & Automation : Step Functions, Lambda, Systems Manager Automation, SNS, CloudWatch Alarms, EventBridge Rules. Required Skills and Experience 8+ Years in cybersecurity, with 4+ Years in AWS cloud security architecture. Deep understanding of AWS Well-Architected Framework (Security Pillar). Preferred Certifications AWS Certified Security – Specialty AWS Certified Solutions Architect – Professional CISSP / CISM / CCSP / GCSA / GIAC Cloud Security Automation
Position Name – Cloud Security ArchitectType of hiring – Fulltime/ ContractLocation – Markham, ON (Hybrid - 3 days’ work from office)
Top Capability skills requiredAWS ArchitectAWS Security SMEIT security background
Job Description:
The Senior AWS Cloud Security Architect is responsible for designing, implementing, and governing secure, compliant, and resilient AWS environments across multi-account cloud infrastructures. You will lead the architecture and automation of identity, data protection, threat detection, and network segmentation controls across the AWS ecosystem.
Key Responsibilities: Design and implement secure landing zones using AWS Control Tower, AWS Organizations, and Service Control Policies (SCPs). Define multi-account security guardrails for shared services, workloads, and sandbox environments. Create reference architectures covering security zones, network segmentation, and cross-account communication (PrivateLink, AWS WAN). Lead threat modelling and risk assessments for new workloads and services (Lambda, ECS, EC2, S3, RDS, DynamoDB, etc.). Develop security-by-design templates integrated into Infrastructure as Code (IaC) pipelines. Partner with compliance teams to maintain continuous alignment with CIS Benchmarks and organizational risk frameworks. Implement federated access and single sign-on with AWS IAM Identity Center (AWS SSO), Okta, and Azure AD. Manage cross-account roles, STS trust policies, and temporary credentials for developers and third parties. Automate secret and credential rotation with AWS Secrets Manager and AWS Systems Manager Parameter Store. Enforce encryption at rest using AWS KMS, CloudHSM, and envelope encryption patterns. Ensure encryption in transit (TLS 1.2/1.3) across internal and public endpoints. Manage key rotation, cross-region replication, and HSM-based root of trust. Implement S3 Object Lock, Macie for data discovery and classification, and Access Points for fine-grained data access. Implement PrivateLink, AWS WAN, and Route 53 Resolver endpoints for service-to-service isolation. Configure Web Application Firewall (WAF) and AWS Shield Advanced for DDoS mitigation. Enforce egress control through Cloud NAT, AWS Gateway Load Balancer (GWLB), or custom proxies. Deploy and integrate AWS Security Hub, GuardDuty, Macie, and Inspector for proactive threat detection. Configure Amazon Detective for forensic investigation and anomaly correlation. Integrate findings into SIEM/SOAR platforms such as FortiSOAR, or Azure Sentinel. Automate response playbooks with AWS Step Functions, Lambda, and SNS alerts. Implement AWS Config rules and Conformance Packs to enforce compliance (e.g., CIS AWS Foundations Benchmark). Use AWS Artifact for vendor assurance and control documentation. Manage compliance dashboards via Security Hub, Trusted Advisor, and Control Tower drift detection.
Core AWS Security & Supporting Services Identity & Access Management: IAM, IAM Identity Center (SSO), AWS Organizations, Access Analyzer, Cognito, Resource Access Manager (RAM), Directory Service.Encryption & Key Management: KMS, CloudHSM, Secrets Manager, SSM Parameter Store, Certificate Manager (ACM), Private CA.Network & Perimeter Security: Network Firewall, WAF, Shield (Standard & Advanced), PrivateLink, AWS WAN, Route 53 Resolver, Network Load Balancer, Application Load Balancer.Threat Detection & Monitoring: GuardDuty, Detective, Security Hub, Inspector, Macie, CloudTrail, Config, CloudWatch, CloudWatch Logs, CloudWatch Metrics.Compliance & Governance: Audit Manager, Artifact, Control Tower, Trusted Advisor, Config Conformance Packs, Service Catalog, Organizations SCPs. Data Protection: S3 Object Lock, Macie, Lake Formation, DLP integrations, S3 Access Points. Vulnerability & Posture Management: Inspector (EC2, ECR, Lambda), Trusted Advisor, Config, Security Hub. Application & Container Security: ECR image scanning, ECS task IAM roles, Lambda least privilege, Secrets Manager, API Gateway authorization. Incident Response & Automation: Step Functions, Lambda, Systems Manager Automation, SNS, CloudWatch Alarms, EventBridge Rules.
Required Skills and Experience 8+ Years in cybersecurity, with 4+ Years in AWS cloud security architecture. Deep understanding of AWS Well-Architected Framework (Security Pillar).
Preferred Certifications AWS Certified Security – Specialty AWS Certified Solutions Architect – Professional CISSP / CISM / CCSP / GCSA / GIAC Cloud Security Automation
Position Name – Cloud Security ArchitectType of hiring – Fulltime/ ContractLocation – Markham, ON (Hybrid - 3 days’ work from office)
Top Capability skills requiredAWS ArchitectAWS Security SMEIT security background
Job Description:
The Senior AWS Cloud Security Architect is responsible for designing, implementing, and governing secure, compliant, and resilient AWS environments across multi-account cloud infrastructures. You will lead the architecture and automation of identity, data protection, threat detection, and network segmentation controls across the AWS ecosystem.
Key Responsibilities: Design and implement secure landing zones using AWS Control Tower, AWS Organizations, and Service Control Policies (SCPs). Define multi-account security guardrails for shared services, workloads, and sandbox environments. Create reference architectures covering security zones, network segmentation, and cross-account communication (PrivateLink, AWS WAN). Lead threat modelling and risk assessments for new workloads and services (Lambda, ECS, EC2, S3, RDS, DynamoDB, etc.). Develop security-by-design templates integrated into Infrastructure as Code (IaC) pipelines. Partner with compliance teams to maintain continuous alignment with CIS Benchmarks and organizational risk frameworks. Implement federated access and single sign-on with AWS IAM Identity Center (AWS SSO), Okta, and Azure AD. Manage cross-account roles, STS trust policies, and temporary credentials for developers and third parties. Automate secret and credential rotation with AWS Secrets Manager and AWS Systems Manager Parameter Store. Enforce encryption at rest using AWS KMS, CloudHSM, and envelope encryption patterns. Ensure encryption in transit (TLS 1.2/1.3) across internal and public endpoints. Manage key rotation, cross-region replication, and HSM-based root of trust. Implement S3 Object Lock, Macie for data discovery and classification, and Access Points for fine-grained data access. Implement PrivateLink, AWS WAN, and Route 53 Resolver endpoints for service-to-service isolation. Configure Web Application Firewall (WAF) and AWS Shield Advanced for DDoS mitigation. Enforce egress control through Cloud NAT, AWS Gateway Load Balancer (GWLB), or custom proxies. Deploy and integrate AWS Security Hub, GuardDuty, Macie, and Inspector for proactive threat detection. Configure Amazon Detective for forensic investigation and anomaly correlation. Integrate findings into SIEM/SOAR platforms such as FortiSOAR, or Azure Sentinel. Automate response playbooks with AWS Step Functions, Lambda, and SNS alerts. Implement AWS Config rules and Conformance Packs to enforce compliance (e.g., CIS AWS Foundations Benchmark). Use AWS Artifact for vendor assurance and control documentation. Manage compliance dashboards via Security Hub, Trusted Advisor, and Control Tower drift detection.
Core AWS Security & Supporting Services Identity & Access Management: IAM, IAM Identity Center (SSO), AWS Organizations, Access Analyzer, Cognito, Resource Access Manager (RAM), Directory Service.Encryption & Key Management: KMS, CloudHSM, Secrets Manager, SSM Parameter Store, Certificate Manager (ACM), Private CA.Network & Perimeter Security: Network Firewall, WAF, Shield (Standard & Advanced), PrivateLink, AWS WAN, Route 53 Resolver, Network Load Balancer, Application Load Balancer.Threat Detection & Monitoring: GuardDuty, Detective, Security Hub, Inspector, Macie, CloudTrail, Config, CloudWatch, CloudWatch Logs, CloudWatch Metrics.Compliance & Governance: Audit Manager, Artifact, Control Tower, Trusted Advisor, Config Conformance Packs, Service Catalog, Organizations SCPs. Data Protection: S3 Object Lock, Macie, Lake Formation, DLP integrations, S3 Access Points. Vulnerability & Posture Management: Inspector (EC2, ECR, Lambda), Trusted Advisor, Config, Security Hub. Application & Container Security: ECR image scanning, ECS task IAM roles, Lambda least privilege, Secrets Manager, API Gateway authorization. Incident Response & Automation: Step Functions, Lambda, Systems Manager Automation, SNS, CloudWatch Alarms, EventBridge Rules.
Required Skills and Experience 8+ Years in cybersecurity, with 4+ Years in AWS cloud security architecture. Deep understanding of AWS Well-Architected Framework (Security Pillar).
Preferred Certifications AWS Certified Security – Specialty AWS Certified Solutions Architect – Professional CISSP / CISM / CCSP / GCSA / GIAC Cloud Security Automation
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
Position Name – Advance Data EngineerType of hiring – FulltimeLocation – Remote Canada
Job Description:
Python & PySparkProficient in both, with strong understanding of software engineering best practices.
Data Exploration & TroubleshootingAbility to investigate data quality issues, debug pipelines, and explore datasets beyond surface-level analysis.
CI/CD & GitHubExperience with GitHub and GitHub Actions for version control and automation; familiarity with CI/CD practices for testing and deployment.
Azure & DatabricksHands-on experience with Azure cloud services and Databricks, including:Databricks Jobs, Clusters, Unity Catalog
Data Pipeline DevelopmentDesign, build, and maintain robust, scalable, and automated data pipelines for both batch and streaming data ingestion using Databricks Workflows.Implement data quality checks, profiling, validation, and root cause analysis to ensure data accuracy and consistency.Design and implement data models and architectures that align with business needs and support efficient processing, analysis, and reporting.
Orchestration & MonitoringUse workflow orchestration tools (e.g., Airflow) to automate pipeline execution and manage dependencies.Integrate monitoring and alerting mechanisms to track pipeline health and proactively address issues.
Agile & CollaborationWork in Agile environments, participating in sprint planning, stand-ups, reviews, and retrospectives.Collaborate across teams and be adaptable to rotating responsibilities and changing priorities
