Cloud Logging Integration Engineer
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Before you apply
LocationPlano, TX
Work moderemote · United States
Typecontract
SenioritySenior
Experience5+ yrs
Company size34+ people
First seenOct 30, 2026 · 4d ago
Verified live4d ago
At a glanceSummarised by Seekless from the posting.
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
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
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
Skills
Microsoft Sentinel
Elastic Logstash
Azure
Data Collection Rules (DCRs)
Data Collection Endpoints (DCEs)
Log Analytics
AWS
S3
ECS/Fargate
SQS
SNS
Lambda
EFS
CloudWatch
IAM
EC2
VPC
KMS
KQL
Terraform
Terragrunt
GitHub Actions
GitHub
JSON
Python
Syslog
SQL
REST APIs
▶︎ 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.