Detection and Response Engineer

Digitailor; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Braintrust is seeking 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.

You’ll have a big impact with a small team that has outsized capabilities, building scalable telemetry, detections, and secure agent tooling while maintaining strong

Qualifications

• Proficient in backend technologies and able to write real code (Python, TypeScript, or Go).
• AWS experience including IAM, VPC, KMS, GuardDuty, CloudTrail.
• Fluency in at least one cloud platform (Azure or GCP).
• Experience with Kubernetes detection: audit logs, runtime telemetry, and workload identity.
• Knowledge of endpoint security (MacOS) and detection/response techniques.
• Hands-on incident experience: on-call, leading incidents, writing postmortems.

Responsibilities

• Build security telemetry pipelines across cloud, CI/CD, identity, endpoints, and agent workloads.
• Continuously improve detections for attacks, abuse, and anomalies.
• Own the alert pipeline end-to-end and reduce false positives.
• Lead incident response and participate in on-call; scope, contain, remediate, and postmortems.
• Hunt for threats and build tooling to turn evidence into detections.
• Build agents that triage alerts and gather evidence with human-in-the-loop controls.
• Perform vulnerability response and drive remediation across the infrastructure.

Skills

Backend development

Cloud security (AWS)

Cloud platforms (Azure/GCP)

Kubernetes detection

Endpoint security (MacOS)

Incident response & on-call

Communication

AI/LLM security

Postmortem writing

Tools

Kubernetes

Job description

About The Company

Braintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them. Teams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve.

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