Lead substantive third-party risk management and customer trust programs at Replit, independently assessing vendor and AI model risks via SOC 2 reviews, architecture analysis, and contract redlining in partnership with Legal. Requires 8+ years GRC experience building scalable TPRM processes.
Lead and scale Replit's 24/7 global SOC, owning SIEM, detection engineering, AI-powered triage/automation, and threat response across multi-cloud, Kubernetes, SaaS, endpoints, and AI workloads. Requires 7+ years in security operations with 3+ years leading SOC functions, deep cloud/SIEM expertise, and hands-on detection engineering.
Mid-level Infrastructure Vulnerability Management Engineer responsible for cloud security posture, IaC scanning, container vulnerability management, and compliance tracking across multi-cloud environments. Requires 5+ years in cloud security/DevSecOps with deep GCP expertise.
Build and operate AI-powered fraud/abuse detection systems defending Replit's platform from phishing, cryptomining, account takeover, and LLM abuse. Requires 8+ years in security/anti-abuse, Python/TypeScript, SQL at scale, and ML/LLM classifier experience.
Build and operate AI-powered abuse detection systems that defend Replit's platform from phishing, cryptomining, LLM token farming, and other attacks. Own end-to-end detection, investigation, and automated response across millions of daily actions.
Build and operate AI-powered abuse detection systems at Replit to combat phishing, cryptomining, prompt injection, and other platform abuse at scale. Requires 8+ years in security/anti-abuse and strong Python/TypeScript + SQL skills.
Build and operate AI-powered fraud and abuse detection systems on Replit's agentic platform. Design LLM guardrails, ML classifiers, and automated response mechanisms to combat phishing, cryptomining, and platform exploitation.
Build and operate AI-powered abuse detection and response systems to protect Replit's platform from phishing, cryptomining, fraud, and LLM-specific attacks. Requires 4+ years in security/anti-abuse and strong Python/TypeScript + SQL skills.
Build and operate AI-powered abuse detection and response systems for a developer platform. Focus on LLM guardrails, fraud detection, and automated enforcement across millions of daily actions.
Hands-on Engineering Manager to build Replit's Anti-Abuse team from scratch. Define threat models, ship detection and verification systems, hire a small team, and partner cross-functionally to make abuse economically unviable.
Mid-level AppSec Vulnerability Management Engineer who identifies application vulnerabilities, manages SBOM and supply chain security, and drives compliance tracking for SOC 2, ISO 27001, and PCI-DSS. Requires 5+ years in AppSec/DevSecOps with strong coding skills in JS/TS, Python, and Go.
Builds and automates GRC systems for compliance-as-code, manages risk registers, and collaborates with engineering, legal, sales, and auditors to enable secure enterprise growth. Requires 8+ years in GRC/security with cloud fluency and automation experience.
Defines and implements secure architecture for multi-tenant SaaS platform, leads threat modeling, mentors engineering teams on security best practices, and conducts code reviews. Requires 8+ years in product security with expertise in auth protocols and SaaS security.
Staff engineer building AI-powered anti-abuse detection systems, LLM guardrails, and automated responses to phishing, cryptomining, and platform exploitation. Requires 8+ years in security engineering with Python/TypeScript and ML/LLM experience.
Leads vulnerability response for cloud-native AI platform, managing intake, triage, validation, remediation coordination, and bug bounty programs. Requires expertise in reproducing web/app/cloud vulnerabilities and operating disclosure processes.
Builds AI-powered anti-abuse detection systems using LLMs to combat phishing, cryptomining, and platform exploitation at scale. Requires 4+ years in security engineering with Python/TypeScript and data analysis experience.
Lead substantive third-party risk management and customer trust programs at Replit, independently assessing vendor and AI model risks via SOC 2 reviews, architecture analysis, and contract redlining in partnership with Legal. Requires 8+ years GRC experience building scalable TPRM processes.
Lead and scale Replit's 24/7 global SOC, owning SIEM, detection engineering, AI-powered triage/automation, and threat response across multi-cloud, Kubernetes, SaaS, endpoints, and AI workloads. Requires 7+ years in security operations with 3+ years leading SOC functions, deep cloud/SIEM expertise, and hands-on detection engineering.
Mid-level Infrastructure Vulnerability Management Engineer responsible for cloud security posture, IaC scanning, container vulnerability management, and compliance tracking across multi-cloud environments. Requires 5+ years in cloud security/DevSecOps with deep GCP expertise.
Build and operate AI-powered fraud/abuse detection systems defending Replit's platform from phishing, cryptomining, account takeover, and LLM abuse. Requires 8+ years in security/anti-abuse, Python/TypeScript, SQL at scale, and ML/LLM classifier experience.
Build and operate AI-powered abuse detection systems that defend Replit's platform from phishing, cryptomining, LLM token farming, and other attacks. Own end-to-end detection, investigation, and automated response across millions of daily actions.
Build and operate AI-powered abuse detection systems at Replit to combat phishing, cryptomining, prompt injection, and other platform abuse at scale. Requires 8+ years in security/anti-abuse and strong Python/TypeScript + SQL skills.
Build and operate AI-powered fraud and abuse detection systems on Replit's agentic platform. Design LLM guardrails, ML classifiers, and automated response mechanisms to combat phishing, cryptomining, and platform exploitation.
Build and operate AI-powered abuse detection and response systems to protect Replit's platform from phishing, cryptomining, fraud, and LLM-specific attacks. Requires 4+ years in security/anti-abuse and strong Python/TypeScript + SQL skills.
Get a push summary when new jobs match your saved alerts.
Build and operate AI-powered abuse detection and response systems for a developer platform. Focus on LLM guardrails, fraud detection, and automated enforcement across millions of daily actions.
Hands-on Engineering Manager to build Replit's Anti-Abuse team from scratch. Define threat models, ship detection and verification systems, hire a small team, and partner cross-functionally to make abuse economically unviable.
Mid-level AppSec Vulnerability Management Engineer who identifies application vulnerabilities, manages SBOM and supply chain security, and drives compliance tracking for SOC 2, ISO 27001, and PCI-DSS. Requires 5+ years in AppSec/DevSecOps with strong coding skills in JS/TS, Python, and Go.
Builds and automates GRC systems for compliance-as-code, manages risk registers, and collaborates with engineering, legal, sales, and auditors to enable secure enterprise growth. Requires 8+ years in GRC/security with cloud fluency and automation experience.
Defines and implements secure architecture for multi-tenant SaaS platform, leads threat modeling, mentors engineering teams on security best practices, and conducts code reviews. Requires 8+ years in product security with expertise in auth protocols and SaaS security.
Staff engineer building AI-powered anti-abuse detection systems, LLM guardrails, and automated responses to phishing, cryptomining, and platform exploitation. Requires 8+ years in security engineering with Python/TypeScript and ML/LLM experience.
Leads vulnerability response for cloud-native AI platform, managing intake, triage, validation, remediation coordination, and bug bounty programs. Requires expertise in reproducing web/app/cloud vulnerabilities and operating disclosure processes.
Builds AI-powered anti-abuse detection systems using LLMs to combat phishing, cryptomining, and platform exploitation at scale. Requires 4+ years in security engineering with Python/TypeScript and data analysis experience.