Cerebras Senior Detection and Response Platform Engineer at Cerebras to own and evolve systems and tooling for detection and response. Focus on building durable internal systems with strong reliability, operability, and developer experience.
Responsibilities
Own and evolve the core infrastructure that powers detection and response workflows at scale.
Design and maintain security telemetry pipelines, including collection, normalization, enrichment, and retention of logs and events.
Own and evolve the execution environment and supporting tooling for detections and response automation, including dependency and configuration management, release processes, and runtime health monitoring.
Automate investigation and response workflows by extending integrations across the tools we rely on.
Set and uphold engineering standards for our tooling: clear interfaces, automated tests, code review, and documentation that makes the system easy to extend.
Own operational health for the platform, including metrics, alerting, and on-call responsibilities focused on system reliability and availability.
Explore and apply emerging approaches, potentially leveraging AI, to reduce toil and strengthen our security posture.
Maintain operational playbooks and procedures that keep the platform healthy and make failures fast to diagnose and recover from.
Skills and Qualifications
5+ years of experience in cloud infrastructure, platform/SRE, software engineering, or security engineering with a strong infrastructure focus.
Strong proficiency in Python, with the ability to write clean, maintainable, and testable code for production systems.
Hands-on experience operating production systems in a major cloud environment (AWS, Azure, or GCP), including IAM, networking, and logging/auditing.
Qualification
Required
5+ years of experience in cloud infrastructure, platform/SRE, software engineering, or security engineering with infrastructure focus
Strong proficiency in Python with ability to write clean, maintainable, testable production code
Hands-on experience operating production systems in major cloud environments (AWS, Azure, or GCP) including IAM, networking, logging/auditing
Experience building and operating event/log pipelines and data workflows with strong fundamentals in reliability and data quality
