Cloud Logging & SIEM Engineer – AWS & Azure

Toyota Tsusho Systems Corporation

Plano (TX)

Presencial

USD 120.000 - 160.000

A tiempo parcial

Hace 9 días

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Descripción de la vacante

Toyota Tsusho Systems US, Inc. seeks a Cloud Logging Integration Engineer with 5+ years of cloud engineering experience to design, deploy, and optimize cloud-native logging and security telemetry across AWS and Azure.

Responsibilities include building Microsoft Sentinel ingestion pipelines, Terraform/Terragrunt infrastructure, and automated deployments via GitHub Actions, plus crafting data parsing and transformation with Logstash or equivalent tools.

Formación

  • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent professional experience.
  • 5+ years of experience in Cloud Engineering.
  • 3+ years of experience working with AWS and Azure cloud environments.
  • 2+ years of experience with Microsoft Sentinel or enterprise SIEM platforms.
  • 2+ years of experience with Terraform.
  • 2+ years of experience with Elastic Logstash or a similar technology.
  • 1+ years of experience with KQL, Python, and SQL.
  • Strong knowledge of Microsoft Sentinel log onboarding and data ingestion, including parsing, filtering, transformation, and troubleshooting using Elastic Logstash or similar technologies.
  • Strong knowledge of AWS services including S3, ECS/Fargate, IAM, KMS, SNS, SQS, Lambda, EFS, EC2, VPC, CloudWatch.
  • Strong knowledge of Microsoft Azure architecture (Tenant/Subscription/Resource Group, Microsoft Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, Logic Apps, Entra ID, RBAC/IAM).
  • Experience Infrastructure as Code using Terraform/Terragrunt and automated deployments via GitHub Actions.
  • Experience using GitHub for source control and IDEs for development.
  • Development experience with KQL, JSON, Python, Syslog, SQL, and REST API integrations.
  • Proven experience as a Data Engineer or similar role focused on data solutions.
  • At least one active AWS or Microsoft Azure certification (e.g., AWS CloudOps/DevOps/Solutions Architect; Azure Administrator/Security/Architect).

Responsabilidades

  • Develop, deploy, and maintain Elastic Logstash configurations and Microsoft Sentinel log ingestion pipelines.
  • Develop and maintain Azure resources, including Data Collection Rules (DCRs), Data Collection Endpoints (DCEs), custom log tables, transformation rules, and Log Analytics workspaces.
  • Develop, deploy, and manage AWS architecture for log collection using S3, ECS/Fargate, SQS, SNS, Lambda, EFS, CloudWatch, IAM, EC2, VPC, and KMS.
  • Develop KQL queries to validate data ingestion and troubleshoot logging and data-quality issues.
  • Troubleshoot ingestion failures, connector issues, authentication problems, and data-quality concerns across AWS and Azure logging architectures.
  • Develop and manage AWS and Azure infrastructure using Terraform/Terragrunt.
  • Automate infrastructure deployments through GitHub Actions.
  • Manage the source-code development lifecycle with GitHub repositories and IDEs.
  • Develop integrations using KQL, JSON, Python, Syslog, SQL, and REST APIs.
  • Support the reliability, scalability, and performance of cloud-based security telemetry and logging solutions.

Conocimientos

Cloud engineering
AWS & Azure
Terraform
Terragrunt
GitHub Actions
CI/CD pipelines
KQL
Python
SQL
JSON
REST APIs

Educación

Bachelor's degree in CS/IT/Cybersecurity or equivalent

Herramientas

Terraform
Terragrunt
GitHub Actions
Microsoft Sentinel
Elastic Logstash
Data Collection Rules (DCRs)
Data Collection Endpoints (DCEs)
S3
ECS/Fargate
CloudWatch

Descripción del empleo

Toyota Tsusho Systems US, Inc. seeks a Cloud Logging Integration Engineer with 5+ years of cloud engineering experience to design, deploy, and optimize cloud-native logging and security telemetry across AWS and Azure.

Responsibilities include building Microsoft Sentinel ingestion pipelines, Terraform/Terragrunt infrastructure, and automated deployments via GitHub Actions, plus crafting data parsing and transformation with Logstash or equivalent tools.

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