Cloud Logging Integration Engineer

Vysoft Solutions Inc
United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Microsoft Azure Cloud Computing Cloud Engineering Code Review Data Transformation Github Identity and Access Management JSON Python (Programming Language)
+20 more
Log Analysis Parsing Role-Based Access Control Logstash Kusto Query Language Security Information and Event Management SQL Databases Data Logging Data Ingestion Microsoft Power Automate Azure Data Factory Amazon Virtual Private Cloud (VPC) Infrastructure Automation Frameworks AWS Fargate Microsoft Sentinel Cloudwatch Restful APIs Amazon Simple Queue Service (SQS) Terraform Software Version Control

Job description

We are seeking an experienced Cloud Logging Integration Engineer to design, implement, automate, and support cloud-native logging and security telemetry solutions across AWS and Microsoft Azure environments.

The role focuses on Microsoft Sentinel log ingestion, Elastic Logstash, cloud infrastructure automation, Terraform/Terragrunt, and security telemetry integration., * Design and maintain cloud-native logging pipelines using Microsoft Sentinel and Elastic Logstash.

  • Implement log ingestion, parsing, filtering, transformation, and normalization.
  • Develop Azure Data Collection Rules (DCRs), Data Collection Endpoints (DCEs), and Log Analytics workspaces.
  • Integrate AWS and Azure cloud security data sources into Microsoft Sentinel.
  • Develop KQL queries for log validation, analysis, and troubleshooting.
  • Manage AWS and Azure cloud infrastructure and logging services.
  • Automate infrastructure deployment using Terraform, Terragrunt, and GitHub Actions.
  • Develop automation scripts using Python, JSON, SQL, and REST APIs.
  • Troubleshoot log ingestion, authentication, connectivity, and data transformation issues.
  • Ensure reliability, scalability, performance, and security of cloud logging solutions.

Requirements

  • 5+ years of Cloud Engineering experience.
  • 3+ years of hands-on experience with AWS and Azure.
  • 2+ years of experience with Microsoft Sentinel or enterprise SIEM platforms.
  • 2+ years of Terraform experience.
  • 2+ years of Elastic Logstash or similar log-processing technology.
  • Experience with KQL, Python, and SQL.
  • Strong knowledge of AWS services: S3, ECS/Fargate, IAM, KMS, SNS, SQS, Lambda, EFS, EC2, VPC, and CloudWatch.
  • Strong knowledge of Azure Sentinel, Log Analytics, Azure Monitor, DCRs, DCEs, Logic Apps, Entra ID, and RBAC/IAM.
  • Experience with Terraform/Terragrunt and GitHub Actions.
  • Strong understanding of GitHub, source control, pull requests, and code reviews.

Mandatory Certification

Candidates must hold at least one active AWS or Microsoft Azure certification.

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