Cloud Logging Integration Engineer

Toyota Tsusho Systems•Plano, TX

15h

About The Position

Toyota Tsusho Systems US, Inc. (TTS-US), founded in 2011, is a Toyota group company that develops IT solutions for global businesses. TTS-US and its eight worldwide affiliates are working to establish a secure and resilient Toyota global value chain as the company transforms into a technology and mobility company. The Cloud Logging Integration Engineer designs, deploys, automates, and troubleshoots cloud-native logging and security telemetry architectures across AWS and Microsoft Azure. The role designs and supports Microsoft Sentinel log ingestion solutions; develops cloud infrastructure using Terraform/Terragrunt; automates deployments through GitHub Actions; and implements data parsing, filtering, transformation, and normalization using Elastic Logstash or similar technologies. The position supports the reliability, scalability, and performance of cloud-based security telemetry and logging solutions. This is a contract position. Occasional evening and weekend work may be required as job duties demand. Working hours and schedule will be determined by business requirements. Travel requirements will be determined based on business needs.

Requirements

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent professional experience.
At least 5 years of experience in Cloud Engineering.
At least 3 years of experience working with AWS and Azure cloud environments.
At least 2 years of experience with Microsoft Sentinel or enterprise SIEM platforms.
At least 2 years of experience with Terraform.
At least 2 years of experience with Elastic Logstash or a similar technology.
At least 1 year 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, and CloudWatch.
Strong knowledge of Microsoft Azure, including Tenant/Subscription/Resource Group architecture, Microsoft Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, Logic Apps, Entra ID, and RBAC/IAM.
Experience developing Infrastructure as Code using Terraform/Terragrunt and implementing automated deployments through GitHub Actions.
Experience using GitHub for source control and IDEs for development.
Development experience with KQL, JSON, Python, Syslog, SQL, and REST API-based integrations.
Proven experience as a Data Engineer or in a similar role focused on data solutions.
Must possess at least one active AWS or Microsoft Azure certification, such as AWS Certified CloudOps Engineer – Associate, AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Associate or Professional, AWS Certified Security – Specialty, Microsoft Azure Administrator Associate, Microsoft Azure Security Engineer Associate, or Azure Solutions Architect Expert.

Nice To Haves

Experience designing and supporting enterprise-scale security telemetry and logging architectures.
Experience integrating diverse cloud and security data sources into Microsoft Sentinel.
Hands-on experience with both AWS and Azure logging architectures.
Experience automating cloud infrastructure and security telemetry deployments through CI/CD pipelines.
Strong troubleshooting skills across cloud infrastructure, authentication, log ingestion, and data-quality issues.

Responsibilities

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 log-collection architecture 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 source-code development lifecycle activities, including pull requests and code reviews, using GitHub repositories and integrated development environments (IDEs).
Develop and maintain integrations using KQL, JSON, Python, Syslog, SQL, and REST APIs.
Support the reliability, scalability, and performance of cloud-based security telemetry and logging solutions.