Braintrust
Detection and Response Engineer
San Francisco. Posted 21 days ago
The role
You will design and build systems to identify, analyze, and eradicate threats across the Braintrust stack. You will build security telemetry pipelines, lead incident response, and build agents to triage alerts.
What you will do
- Build security telemetry pipelines across cloud execution environments, CI/CD systems, identity systems, endpoints, and agentic workloads
- Continuously improve detections for attacks, abuse, and anomalous behavior
- Own the alert pipeline end-to-end and keep signal-to-noise high
- Lead incident response and participate in on-call
- Triage, scope, contain, and remediate incidents
- Write postmortems that produce durable improvements
- Hunt proactively for threats and build tooling for turning evidence into new detections
- Build agents that triage alerts, enrich findings, gather evidence, and scope incidents
- Run vulnerability response, evaluating impact and driving remediation across infrastructure
Required qualifications
- Proficient in modern backend technologies and comfortable writing real code in Python, TypeScript, or Go
- AWS experience (IAM, VPC, KMS, GuardDuty, CloudTrail)
- Working fluency in at least one of Azure or GCP
- Kubernetes detection experience: audit logs, runtime telemetry, and workload identity
- Knowledge of endpoint security (MacOS) and detection and response techniques
- Hands-on incident experience: you’ve been on call, led incidents, and written postmortems
- Strong written and verbal communication
- A clear point of view on AI/LLM security and hands-on experience defending relevant threats
Nice to have
- prior experience with LLM red-teaming
- agent sandbox research
- other AI-relevant security threat defense
Benefits
- Medical, dental, and vision insurance
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity
- Wifi & cellphone stipend
About the company
Braintrust is the agent observability platform. It gives teams the visibility to understand how agents behave in production and the tools to improve them.