Cloud Logging Integration Engineer
Plano, Collin County, Texas, 75086, USA
Listed on 2026-10-24
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Cybersecurity, Azure, AWS
Division:
Cybersecurity
Location:
Plano, Texas Work Model:
Remote
Employment Type:
Contract Experience
Required:
5+ Years in Cloud Engineering Certification:
At Least One Active AWS or Microsoft Azure Certification Required
The role focuses on Microsoft Sentinel log ingestion, Elastic Logstash, cloud infrastructure automation, Infrastructure as Code (IaC), and security telemetry integration.
Key ResponsibilitiesDesign, deploy, and maintain cloud-native logging pipelines using Microsoft Sentinel and Elastic Logstash.
Implement log ingestion, parsing, filtering, transformation, and normalization processes.
Develop and maintain Azure Data Collection Rules (DCRs), Data Collection Endpoints (DCEs), custom log tables, transformation rules, and Log Analytics work spaces.
Integrate cloud and security data sources into Microsoft Sentinel and troubleshoot ingestion, connector, authentication, and data-quality issues.
Design and manage AWS log collection architectures using S3, ECS/Fargate, SQS, SNS, Lambda, EFS, Cloud Watch, IAM, EC2, VPC, and KMS.Manage Azure resources supporting security monitoring and log ingestion, including Azure Monitor, Log Analytics, Logic Apps, Entra , and RBAC/IAM.Automate cloud infrastructure deployments using Terraform/Terragrunt and Git Hub Actions.
Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent professional experience.
5+ years of experience in Cloud Engineering.
3+ years of hands-on experience 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 similar technologies.
1+ years of experience with KQL, Python, and SQL.
Strong experience with Microsoft Sentinel log onboarding, ingestion pipelines, parsing, filtering, transformation, and troubleshooting.
Strong knowledge of AWS and Azure cloud architecture, services, security, and logging infrastructure.
Experience with Terraform/Terragrunt, Git Hub Actions, source control, pull requests, and code reviews.
Development experience with KQL, JSON, Python, Syslog, SQL, and REST API integrations.
Proven experience in Data Engineering or a similar role focused on data solutions.
Strong analytical, troubleshooting, and problem-solving skills.
Candidates must possess at least one active AWS or Microsoft Azure certification, such as:
AWS Certified Cloud Ops Engineer – Associate AWS Certified Dev Ops Engineer – Professional AWS Certified Solutions Architect – Associate or Professional AWS Certified Security – Specialty Microsoft Certified:
Azure Administrator Associate Microsoft Certified:
Azure Security Engineer Associate Microsoft Certified:
Azure Solutions Architect Expert
Experience designing and supporting enterprise-scale security telemetry and cloud logging architectures.
Experience integrating multiple cloud and security data sources into Microsoft Sentinel.
Hands-on experience with logging infrastructure across AWS and Azure.
Experience implementing automated cloud infrastructure deployments using CI/CD pipelines.
Strong troubleshooting expertise across cloud services, identity and access management, log ingestion, and data quality.
Experience optimizing security logging solutions for performance, scalability, and operational reliability.
Cloud Platforms: AWS, Microsoft AzureSIEM & Logging:
Microsoft Sentinel, Elastic Logstash, Azure Monitor, Log Analytics Azure Services: DCRs, DCEs, Logic Apps, Entra , RBAC/IAMAWS Services: S3, ECS/Fargate, SQS, SNS, Lambda, EFS, Cloud Watch, IAM, EC2, VPC, KMSInfrastructure as Code:
Terraform, Terragrunt Dev Ops & CI/CD:
Git Hub, Git Hub Actions, Pull Requests, Code Reviews Programming & Integration: KQL, Python, SQL, JSON, Syslog, REST APIs
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent professional experience.
5+ years of experience in Cloud Engineering.
3+ years of hands-on experience 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 similar technologies.
1+ years of experience with KQL, Python, and SQL.
Strong experience with Microsoft Sentinel log onboarding, ingestion pipelines, parsing, filtering, transformation, and…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).