Site Reliability Engineering Manager (US Remote)

Job Description
As a Site Reliability Engineering Manager, you will lead a global team of talented SREs in the development, deployment, and continuous improvement of our Cyber Threat Detection Pipeline. You will leverage cutting-edge technologies such as Splunk Enterprise Security, Exabeam Advanced Analytics (UEBA), Security Data Lakes (e.g., Data Bricks or Snowflake), and Cribl for log ingestion. Your leadership will ensure the delivery of a scalable, efficient, and highly reliable Threat Detection Engineering platform. 
Key Responsibilities: 
Lead and mentor a global team of SREs in the design, implementation, and maintenance of our Threat Detection Pipeline. 
Drive the adoption of best practices in security engineering, including secure coding, security testing, and operational incident response. 
Collaborate with cross-functional teams to identify, assess, and ingest new log sources in to the detection pipeline. 
Drive the adoption and implementation of Detection as Code principles, leveraging CI/CD pipelines to automate the deployment and management of detection rules and platform configurations, ensuring fast, reliable, and consistent updates across our environment. 
Implement and maintain the platform's configuration via Infrastructure as Code (IaC) using tools such as Ansible and Terraform, ensuring that our security infrastructure is scalable, reproducible, and manageable through code. 
Manage the full lifecycle of security tools and platforms, including evaluation, selection, implementation, and optimization. 
Ensure the reliability, availability, and performance of the Threat Detection Pipeline through proactive monitoring and continuous improvement initiatives. 
Stay abreast of the latest security trends, threats, and technologies to continuously enhance our security posture. 
Foster a culture of innovation, encouraging the team to explore new technologies and approaches that enhance our security capabilities. 
Develop and manage the security engineering data storage and compute budget, ensuring effective allocation of resources through management of the data lifecycle. 
Prepare and present reports on the team's progress, operational incidents, and other relevant metrics to senior management.