Cloud Logging Integration Engineer

Cinter Networks, Inc.

Plano (TX)

On-site

USD 120,000 - 180,000

Part time

2 days ago
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Job summary

Cinter Networks, Inc. is seeking a Cloud Logging Integration Engineer for a contract role in Plano, TX.

The candidate will design, deploy, and maintain Microsoft Sentinel log ingestion pipelines, integrate AWS/Azure logging stacks, and develop automated CI/CD workflows to support security telemetry initiatives. The right candidate has 5+ years in cloud engineering, strong experience with Sentinel or SIEM, and hands-on Terraform, Logstash, and GitHub Actions.

Qualifications

  • Bachelor's degree in CS/IT, Cybersecurity or equal experience.
  • 5+ years of Cloud Engineering experience.
  • 3+ years with AWS and Azure.
  • 2+ years with Microsoft Sentinel or other enterprise SIEM.
  • 2+ years of Terraform development (IaC).
  • 2+ years with Elastic Logstash or similar log processing.
  • 1+ year with KQL, Python, and SQL.
  • Strong knowledge of Sentinel onboarding, ingestion, parsing, and troubleshooting.
  • Experience with AWS services (S3, IAM, KMS, SNS, SQS, Lambda, EFS, EC2, VPC, CloudWatch).
  • Azure services knowledge: Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, RBAC/IAM.

Responsibilities

  • Design, deploy, and maintain log ingestion pipelines for monitoring.
  • Build and support Azure logging infrastructure and Log Analytics workspaces.
  • Design and manage AWS log collection architectures using S3, ECS/Fargate, IAM, KMS, CloudWatch.
  • Develop and optimize KQL queries for data validation and troubleshooting.
  • Resolve log ingestion failures, connector issues, and telemetry incidents across AWS/Azure.
  • Develop IaC using Terraform and Terragrunt.
  • Automate deployments and workflows with GitHub Actions.
  • Manage code in GitHub with PRs and reviews.
  • Design integrations using KQL, JSON, Python, Syslog, SQL, REST APIs.
  • Ensure reliability, scalability, performance, and security of logging/telemetry.
  • Collaborate with cloud, security, and engineering teams on logging initiatives.
  • Document designs, procedures, and architecture standards.

Skills

Cloud engineering
SIEM engineering
Security monitoring
Data integration

Education

Bachelor's degree in CS/IT or Cybersecurity

Tools

Terraform
Elastic Logstash
GitHub Actions
JSON

Job description

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.
No C2C: We do not accept Corp-to-Corp (C2C) arrangements for this position.
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