Jobs

Detection and Response Engineer

Braintrust

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Location
United States
Track
AI Security
Posted
October 24, 2026
Source
Ashby

Job description

About the role

We’re looking for a Detection and Response engineer to design and build systems that identify, analyze, and eradicate threats across the Braintrust stack. You’ll practice detection-as-code, run security operations with agents, lead incident response, and stay ahead of the curve incorporating real-time threat intelligence. Have a big impact with a small team that has outsized capabilities.

What you'll do

  • Build security telemetry pipelines across cloud execution environments (ECS/K8s), 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, then write postmortems that produce durable improvements
  • Hunt proactively for threats and build the tooling for turning evidence into new detections
  • Build agents that triage alerts, enrich findings, gather evidence, and scope incidents, with human-in-the-loop controls and evals that keep the automation trustworthy
  • Run vulnerability response, evaluating impact and driving remediation across our infrastructure

Ideal candidate credentials

  • Proficient in modern backend technologies and comfortable writing real code in Python, TypeScript, or Go
  • AWS experience (IAM, VPC, KMS, GuardDuty, CloudTrail) and 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
  • Bonus: prior experience with LLM red-teaming, agent sandbox research, or other AI-relevant security threat defense

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