
Cloud Logging Integration Engineer
Posted Oct 23

Posted Oct 23
This is a fully remote position, open to applicants in Texas.
• Design, implement, and sustain Elastic Logstash configurations along with Microsoft Sentinel log ingestion pipelines.
• Create and manage Azure resources, which include Data Collection Rules, Data Collection Endpoints, customized log tables, transformation rules, and Log Analytics workspaces.
• Architect, deploy, and oversee AWS log-collection frameworks utilizing S3, ECS/Fargate, SQS, SNS, Lambda, EFS, CloudWatch, IAM, EC2, VPC, and KMS.
• Formulate KQL queries to verify data ingestion and address logging and data integrity issues.
• Diagnose ingestion failures, connector malfunctions, authentication challenges, and data quality issues across AWS and Azure logging infrastructures.
• Develop and oversee AWS and Azure infrastructure utilizing Terraform/Terragrunt.
• Automate infrastructure deployments via GitHub Actions.
• Oversee the source-code development lifecycle, including pull requests and code reviews, using GitHub repositories and IDEs.
• Create and maintain integrations using KQL, JSON, Python, Syslog, SQL, and REST APIs.
• Ensure reliability, scalability, and performance of cloud-based security telemetry and logging solutions.
• Be available for occasional evening and weekend work as necessary.
• Travel as required based on business needs.
• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or relevant professional experience.
• Over 5 years of experience in Cloud Engineering.
• More than 3 years of experience working with AWS and Azure cloud environments.
• At least 2 years of experience with Microsoft Sentinel or enterprise SIEM platforms.
• Minimum of 2 years of experience with Terraform.
• A minimum of 2 years of experience with Elastic Logstash or a comparable technology.
• Over 1 year of experience with KQL, Python, and SQL.
• Strong understanding of Microsoft Sentinel log onboarding and data ingestion processes, including parsing, filtering, transformation, and troubleshooting using Elastic Logstash or similar tools.
• Solid knowledge of AWS services such as S3, ECS/Fargate, IAM, KMS, SNS, SQS, Lambda, EFS, EC2, VPC, and CloudWatch.
• Comprehensive 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 in developing Infrastructure as Code using Terraform/Terragrunt and executing automated deployments through GitHub Actions.
• Proficient in using GitHub for source control and IDEs for development purposes.
• Development experience with KQL, JSON, Python, Syslog, SQL, and REST API-based integrations.
• Demonstrated experience as a Data Engineer or in a comparable role emphasizing data solutions.
• Must hold at least one active certification from AWS or Microsoft Azure, 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, or Azure Solutions Architect Expert.
• Preferred: experience in designing and supporting enterprise-scale security telemetry and logging architectures.
• Preferred: familiarity with integrating various cloud and security data sources into Microsoft Sentinel.
• Preferred: practical experience with both AWS and Azure logging infrastructures.
• Preferred: experience in automating cloud infrastructure and security telemetry deployments via CI/CD pipelines.
• Preferred: strong troubleshooting skills across cloud infrastructure, authentication, log ingestion, and data quality issues.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• Flexible work hours and remote work options.
• Generous vacation and paid time off policy.
Eltropy
Cencora
Cencora
Celigo
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