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# Cloud Logging Integration Engineer

- **Company:** iFlow Inc
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $96,800.0 - $145,200.0
- **Contract:** Contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Cyber Security, Data Systems, Github, Identity and Access Management, Integrated Development Environments, JSON, Python (Programming Language), Log Analysis, Parsing, Role-Based Access Control, Logstash, Kusto Query Language, Security Information and Event Management, Amazon Simple Notification Service (SNS), SQL Databases, Syslog, Systems Integration, Data Logging, Data Ingestion, Microsoft Power Automate, Cloud Monitoring, Amazon Virtual Private Cloud (VPC), Infrastructure Automation Frameworks, Information Technology, Deployment Automation, AWS Fargate, Microsoft Sentinel, Functional Programming, Cloudwatch, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Software Version Control, Azure Resource Manager
- **Published:** October 3, 2026
- **Apply:** https://www.careerjet.com/jobad/us1e194eedb289a07e558d278ad9d80cdc

## About the Role

We are seeking a highly motivated and experienced Cloud Logging Integration Engineer with 5+ years of experience in Cloud Engineering to join our dynamic team. This position is ideal for a candidate with hands-on experience designing, deploying, automating, and troubleshooting cloud-native logging and security telemetry architectures across AWS and Microsoft Azure environments., 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, Experience designing and supporting enterprise-scale security telemetry and logging architectures.
Experience integrating diverse cloud and security data sources into Microsoft Sentinel.
Hands-on experience with both AWS and Azure logging architectures.
Experience automating cloud infrastructure and security telemetry deployments through CI/CD pipelines.
Strong troubleshooting skills across cloud infrastructure, authentication, log ingestion, and data-quality issues., We are seeking a highly motivated and experienced Cloud Logging Integration Engineer with 8+ years of experience in Cloud Engineering to join our dynamic team. This position is ide…

## Description

The successful candidate will be responsible for designing and supporting Microsoft Sentinel log ingestion solutions, developing cloud infrastructure using Terraform/Terragrunt, automating deployments through GitHub Actions, and implementing data parsing, filtering, transformation, and normalization using Elastic Logstash or similar technologies.
Requirements
Essential Functions
Develop, deploy, and maintain Elastic Logstash configurations and Microsoft Sentinel log ingestion pipelines.
Develop and maintain supporting Azure resources, including Data Collection Rules (DCRs), Data Collection Endpoints (DCEs), custom log tables, transformation rules, and Log Analytics workspaces.
Develop, deploy, and manage AWS architecture for log collection using services including 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 the source-code development lifecycle, including pull requests and code reviews, using GitHub repositories and integrated development environments (IDEs).
Develop and maintain integrations using KQL, JSON, Python, Syslog, SQL, and REST APIs.
Support the reliability, scalability, and performance of cloud-based security telemetry and logging solutions., Role: Cloud Engineer Experience: - Min 5+Years Location: - Remote USA As a Cloud Engineer you will be a part of an Agile team to build healthcare applications and implement n…

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