Cloud Logging Integration Engineer

Job Title: Cloud Logging Integration Engineer

Client: Japanese Global Automotive Group / Cybersecurity Division

Working

Location:

Plano, TX

Employment Type: Contract

Visa Support: No

Working Hours: Standard Business Hours (CST)

Language: English Fluent

• Design, develop, deploy, and maintain Microsoft Sentinel log ingestion pipelines and Elastic Logstash configurations.
• Build and support Azure logging infrastructure, including Data Collection Rules (DCRs), Data Collection Endpoints (DCEs), custom log tables, transformation rules, and Log Analytics work spaces.
• Design and manage AWS log collection architectures leveraging S3, ECS/Fargate, SQS, SNS, Lambda, EFS, Cloud Watch, IAM, EC2, VPC, and KMS.
• Develop and optimize KQL queries to validate data ingestion and troubleshoot data-quality issues.
• Investigate and resolve log ingestion failures, connector issues, authentication problems, and telemetry-related incidents across AWS and Azure environments.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and Terragrunt.
• Automate cloud infrastructure deployments and operational workflows utilizing Git Hub Actions.
• Manage source code repositories, pull requests, and code review processes using Git Hub.
• Design and maintain integrations utilizing KQL, JSON, Python, Syslog, SQL, and REST APIs.
• Ensure reliability, scalability, performance, and security of cloud-native logging and security telemetry solutions.
• Collaborate with cloud, security, and engineering teams to support enterprise logging initiatives.
• Document technical designs, operational procedures, and architecture standards.

• Strong hands-on experience with Microsoft Sentinel, log onboarding, and cloud security telemetry.
• Expertise in designing and troubleshooting large-scale logging architectures across AWS and Azure.
• Strong Infrastructure-as-Code experience using Terraform/Terragrunt.
• Experience building and maintaining cloud automation through CI/CD pipelines and Git Hub Actions.
• Knowledge of log parsing, filtering, normalization, and transformation methodologies.
• Strong analytical and troubleshooting skills for cloud infrastructure and security monitoring environments.
• Ability to work independently in a remote environment while collaborating effectively across teams.
• Experience integrating diverse cloud and security data sources into SIEM platforms.
• Strong communication skills and ability to explain complex technical concepts to stakeholders.
• Commitment to operational excellence, automation, and continuous improvement.

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent professional experience.
• 5+ years of Cloud Engineering experience.
• 3+ years of hands-on experience with AWS and Azure cloud platforms.
• 2+ years of experience with Microsoft Sentinel or other enterprise SIEM platforms.
• 2+ years of experience developing Infrastructure as Code using Terraform.
• 2+ years of experience with Elastic Logstash or similar log processing technologies.
• 1+ year of experience with KQL, Python, and SQL.
• Strong knowledge of Microsoft Sentinel log onboarding, ingestion, parsing, filtering, transformation, and troubleshooting.
• Strong experience with AWS services including S3, ECS/Fargate, IAM, KMS, SNS, SQS, Lambda, EFS, EC2, VPC, and Cloud Watch.
• Strong understanding of Azure services including Microsoft Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, Logic Apps, Entra , and RBAC/IAM.
• Experience implementing CI/CD pipelines using Git Hub Actions.
• Experience using Git Hub for source control, pull requests, and code reviews.
• Development experience utilizing KQL, JSON, Python, Syslog, SQL, and REST APIs.
• Proven experience as a Data Engineer,…