Cloud Logging Integration Engineer

Toyota Tsusho Europe

. Develop, deploy, and maintain Elastic Logstash configurations and Microsoft Sentinel log ingestion pipelines .

Posted 10/23/2026contractRemote • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and managing cloud infrastructure using AWS and Azure, with a strong focus on log ingestion and telemetry solutions. Proficient in Infrastructure as Code practices using Terraform and automation through CI/CD pipelines.

Highest-signal resume keywords

AWS Cloud EngineeringAzure Cloud EngineeringTerraform/TerragruntMicrosoft SentinelKQL Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Elastic LogstashData Collection RulesData Collection EndpointsKQLPythonSQLREST APIsGitHub ActionsCloudWatchECS/Fargate

Soft Skills

TroubleshootingProblem-Solving

Tools & Technologies

Microsoft SentinelAWS ServicesAzure ServicesGitHubIDEs

Certifications & Qualifications

AWS Certified CloudOps Engineer – AssociateAWS Certified DevOps Engineer – ProfessionalAWS Certified Solutions Architect – AssociateMicrosoft Azure Administrator AssociateMicrosoft Azure Security Engineer Associate

Industry Keywords

Cloud EngineeringData SolutionsSecurity TelemetryLogging ArchitecturesInfrastructure as Code

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityEC2LogstashPythonSQLTerraform

About the role

Key responsibilities & impact

Develop, deploy, and maintain Elastic Logstash configurations and Microsoft Sentinel log ingestion pipelines
Develop and maintain Azure resources, including Data Collection Rules, Data Collection Endpoints, 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, pull requests, and code reviews using GitHub repositories and IDEs
Develop and maintain integrations using KQL, JSON, Python, Syslog, SQL, and REST APIs
Support reliability, scalability, and performance of cloud-based security telemetry and logging solutions
Work occasional evenings and weekends as required
Travel as determined by business needs

Requirements

What you’ll need

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