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Toyota Tsusho Systems US, Inc. seeks a Cloud Logging Integration Engineer with 5+ years of cloud engineering experience to design and support logging and telemetry architectures on AWS and Azure.
You will implement Microsoft Sentinel ingestion pipelines, Terraform/Terragrunt-based infrastructure, and CI/CD deployments with GitHub Actions, while building data parsing and integration layers using KQL, JSON, Python, Syslog, SQL, and REST APIs.
Founded in 2011, Toyota Tsusho Systems US, Inc. (TTS-US) is a Toyota group company that develops IT solutions wherever global businesses operate. Transforming into a technology and mobility company, TTS-US, with its eight TTS affiliates worldwide, is establishing a secure and resilient Toyota global value chain. The creative capacity to forge limitless business opportunities is one of the strengths of Toyota Tsusho Systems.
We are seeking a highly motivated and experienced Cloud Logging Integration Engineer with 5+ years of experience in Cloud Engineering to join our dynamic team. This position is ideal for a candidate with hands-on experience designing, deploying, automating, and troubleshooting cloud-native logging and security telemetry architectures across AWS and Microsoft Azure environments.
The successful candidate will be responsible for designing and supporting Microsoft Sentinel log ingestion solutions, developing cloud infrastructure using Terraform/Terragrunt, automating deployments through GitHub Actions, and implementing data parsing, filtering, transformation, and normalization using Elastic Logstash or similar technologies.
Required Education & Experience
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, 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: