Senior Detection and Response Engineer
Anyscale · San Francisco, CA · 1 mo ago
Engineering$250/hrFull-time
About the role
Anyscale is a company dedicated to making distributed computing accessible to all developers through the commercialization of Ray, an open-source project for scalable machine learning. Anyscale is expanding rapidly and needs a Senior Detection and Response Engineer to manage detection engineering and coordinate incident responses.
Responsibilities
- Own and build detection coverage across cloud, endpoint, and runtime telemetry.
- Own a centralized correlation and alerting capability that transforms telemetry into actionable detections.
- Own incident response: runbooks, escalation paths, and coordination during incidents across corporate and production environments.
- Drive detection of anomalous activity across cloud, endpoint, and runtime telemetry, including Kubernetes.
- Tune detections to maintain a high signal-to-noise ratio and measure detection and response performance metrics such as Mean Time to Detect and Respond.
- Run incident retrospectives and incorporate lessons learned into detections and controls.
- Partner with infrastructure security and IT teams to address gaps identified during response.
Requirements
- 6+ years of experience in security, with a strong focus on detection engineering and incident response, preferably at a high-growth startup.
- Hands-on experience building detections and correlation across cloud (AWS, Azure), endpoint (EDR), and potentially container and runtime telemetry.
- Experience managing incident response end-to-end, including leading during live incidents.
- Ability to build and scale a detection and response capability, not just operate an existing one.
- Sound judgment and clear communication skills under pressure during incidents.
- Fluency in working with engineers and IT teams to identify and address gaps in response.
Qualifications
- Experience with SIEM or detection platforms and detection-as-code approaches.
- Familiarity with runtime security tools such as Upwind or similar.
- Background in AI or ML platforms or distributed systems.