Cloud Logging Integration Engineer
About the role
▶︎ Job Details
・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
▶︎ Key Responsibilities
- 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 workspaces.
- Design and manage AWS log collection architectures leveraging S3, ECS/Fargate, SQS, SNS, Lambda, EFS, CloudWatch, 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 GitHub Actions.
- Manage source code repositories, pull requests, and code review processes using GitHub.
- 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.
▶︎ The Right Candidate Will Possess
- 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 GitHub 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.
▶︎ Required Qualifications & Skills
- 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 CloudWatch.
- Strong understanding of Azure services including Microsoft Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, Logic Apps, Entra ID, and RBAC/IAM.
- Experience implementing CI/CD pipelines using GitHub Actions.
- Experience using GitHub 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, Cloud Engineer, Security Engineer, SIEM Engineer, or similar infrastructure-focused role.
- 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
- Azure Solutions Architect Expert
▶︎ Preferred Qualifications
- Experience designing and supporting enterprise-scale logging and security telemetry architectures.
- Experience integrating AWS, Azure, security, and infrastructure data sources into Microsoft Sentinel.
- Hands-on experience supporting multi-cloud environments.
- Experience building automated deployment pipelines for cloud infrastructure and security monitoring solutions.
- Strong knowledge of observability, log management, and monitoring platforms.
- Experience with Security Operations, Detection Engineering, or Security Monitoring environments.
- Additional cloud, security, or DevOps certifications are highly desirable.