Detection & Response Engineer

Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.

Responsibilities

Own detection and response end to end: what we log, what we alert on, how we triage and how we recover; Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume; Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read; Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit; Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls; Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one; Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find; Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team; Participate in an on-call rotation for security incidents

Requirements

Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward; Experience building and tuning detections in a modern SIEM, ideally managed as code; Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs; Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools; Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity; Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job; Judgment about what to alert on, what to automate and when to wake someone up

Nice to have

Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets; Experience building detections or guardrails for AI agents, LLM tooling or MCP servers; Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody; Published open source detection content