{"schemaVersion":"jobsearcher.job.v1","id":"8d4e10bf6f0302c04896acdc","url":"https://jobsearcher.com/jobs/8d4e10bf6f0302c04896acdc","canonicalUrl":"https://jobsearcher.com/jobs/8d4e10bf6f0302c04896acdc","title":"Detection and Response Engineer","description":"About UsAI needs a new infrastructure layer. We're building it at Modal.Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.The RoleWe're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness.You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.What You'll Work OnDetection EngineeringDesign and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systemsContinuously improve detections based on telemetry, threat intelligence, and lessons learned from incidentsImprove visibility across cloud infrastructure, containers, identity systems, and production servicesIncident ResponseLead or participate in investigations spanning production infrastructure, cloud environments, and internal systemsBuild playbooks and automation that reduce investigation time and improve response consistencyDrive post-incident improvements that eliminate entire classes of future incidentsSecurity Tooling & AutomationBuild internal tooling that improves detection, investigation, and response workflowsLeverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetryImprove the collection, quality, and usability of security telemetry across the platformEngineering PartnershipPartner with engineering teams to ensure new systems are observable and secure by defaultHelp teams instrument services with the telemetry needed for effective detection and responseDrive security improvements that make the platform easier to defend over timeYou May Be a Fit IfYou have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focusYou have strong software engineering skills and experience building production systems. You've investigated security incidents in cloud-native or distributed environmentsYou're familiar with modern cloud infrastructure, Kubernetes, Linux, and networkingYou've built detections using logs, telemetry, behavioral signals, or large-scale event data.You have strong SQL skills for investigating security events and developing detectionsYou're interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systemsYou have strong written and verbal communication skillsNice-to-HaveExperience building AI- or LLM-powered security toolingExperience with SIEM, SOAR, or EDR platformsExperience with Kubernetes security or large-scale cloud infrastructureExperience with threat hunting, malware analysis, or digital forensicsExperience contributing to security operations in a high-growth engineering organization","company":"Modal","rawCompany":"modal","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-06T12:00:19.444Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Detection and Response Engineer","description":"About UsAI needs a new infrastructure layer. We're building it at Modal.Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.The RoleWe're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness.You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.What You'll Work OnDetection EngineeringDesign and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systemsContinuously improve detections based on telemetry, threat intelligence, and lessons learned from incidentsImprove visibility across cloud infrastructure, containers, identity systems, and production servicesIncident ResponseLead or participate in investigations spanning production infrastructure, cloud environments, and internal systemsBuild playbooks and automation that reduce investigation time and improve response consistencyDrive post-incident improvements that eliminate entire classes of future incidentsSecurity Tooling & AutomationBuild internal tooling that improves detection, investigation, and response workflowsLeverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetryImprove the collection, quality, and usability of security telemetry across the platformEngineering PartnershipPartner with engineering teams to ensure new systems are observable and secure by defaultHelp teams instrument services with the telemetry needed for effective detection and responseDrive security improvements that make the platform easier to defend over timeYou May Be a Fit IfYou have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focusYou have strong software engineering skills and experience building production systems. You've investigated security incidents in cloud-native or distributed environmentsYou're familiar with modern cloud infrastructure, Kubernetes, Linux, and networkingYou've built detections using logs, telemetry, behavioral signals, or large-scale event data.You have strong SQL skills for investigating security events and developing detectionsYou're interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systemsYou have strong written and verbal communication skillsNice-to-HaveExperience building AI- or LLM-powered security toolingExperience with SIEM, SOAR, or EDR platformsExperience with Kubernetes security or large-scale cloud infrastructureExperience with threat hunting, malware analysis, or digital forensicsExperience contributing to security operations in a high-growth engineering organization","datePosted":"2026-11-06T12:00:19.444Z","dateModified":"2026-11-06T12:00:19.444Z","hiringOrganization":{"@type":"Organization","name":"Modal","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d4e10bf6f0302c04896acdc"},"url":"https://jobsearcher.com/jobs/8d4e10bf6f0302c04896acdc"}}