{"id":62781,"url":"https://alion.io/job/modal-detection-and-response-engineer","title":"Detection and Response Engineer","company":{"id":12985,"name":"Modal","domain":"modal.com","url":"https://alion.io/company/modal","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":40,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":266,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Security","role_family":"Security","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true},{"name":"Matplotlib","optional":true},{"name":"SIEM","optional":true}],"status":"live","first_seen_at":"2026-08-17T17:46:05Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-17T09:41:36Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":60},"description":"About Us:\nAI needs a new infrastructure layer. We're building it at Modal.\nEvery 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.\nOur customers include category-defining companies like Lovable, 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.\nWe recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.\nOur 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.\nThe Role:\nWe're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.\nThis 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.\nYou'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.\nWhat You'll Work On:\nDetection Engineering\nDesign and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems\n\nContinuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents\n\nImprove visibility across cloud infrastructure, containers, identity systems, and production services\n\nIncident Response\nLead or participate in investigations spanning production infrastructure, cloud environments, and internal systems\n\nBuild playbooks and automation that reduce investigation time and improve response consistency\n\nDrive post-incident improvements that eliminate entire classes of future incidents\n\nSecurity Tooling & Automation\nBuild internal tooling that improves detection, investigation, and response workflows\n\nLeverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry\n\nImprove the collection, quality, and usability of security telemetry across the platform\n\nEngineering Partnership\nPartner with engineering teams to ensure new systems are observable and secure by default\n\nHelp teams instrument services with the telemetry needed for effective detection and response\n\nDrive security improvements that make the platform easier to defend over time\n\nWhat We're Looking For:\nExperience in detection engineering, incident response, security engineering, or software engineering with a strong security focus\n\nStrong software engineering skills with experience building production systems\n\nExperience investigating security incidents in cloud-native or distributed environments\n\nFamiliarity with modern cloud infrastructure, Kubernetes, Linux, and networking\n\nExperience building detections using logs, telemetry, behavioral signals, or large-scale event data\n\nStrong SQL skills for investigating security events and developing detections\n\nInterest in applying AI and LLMs to detection, investigation, and response, including understanding emerging threats involving AI-powered systems\n\nStrong written and verbal communication skills\n\nPreferred Qualifications:\nExperience building AI- or LLM-powered security tooling\n\nExperience with SIEM, SOAR, or EDR platforms\n\nExperience with Kubernetes security or large-scale cloud infrastructure\n\nExperience with threat hunting, malware analysis, or digital forensics\n\nExperience contributing to security operations in a high-growth engineering 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