Security Operations Lead

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We are looking for a Security Operations Lead (SOC Lead) to build, mature, and operate our 24/7 detection and response capabilities across a modern cloud-native and AI-driven environment. This role leads the global SOC function—monitoring, SIEM ownership, detection engineering, alert triage, and operational readiness—while also evaluating and integrating emerging AI-based SOC products and autonomous response platforms . You will oversee monitoring across multi-cloud environments (GCP primary, AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads . You’ll collaborate closely with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure to ensure our detection strategy scales and stays ahead of evolving threats. This is a hands-on leadership role perfect for someone who wants to shape the SOC of the future while solving complex challenges in a high-scale AI setting. What You’ll Do SOC Leadership & 24/7 Monitoring Lead, mentor, and scale a global SOC team responsible for 24/7 monitoring, alert intake, triage, correlation, and escalation. Build operational rigor: processes, runbooks, SLAs, metrics, and quality standards for high-scale environments. Cover monitoring across: Cloud infrastructure (GCP, AWS, Azure) Kubernetes/GKE/EKS/AKS clusters SaaS platforms (Google Workspace, GitHub, Slack, Okta, etc.) Endpoints (macOS, Linux, Windows) including EDR/XDR telemetry Developer platforms + CI/CD pipelines AI/ML systems and model-serving workflows AI-Based SOC Integration & Innovation Evaluate, adopt, and integrate AI-native SOC technologies for triaging, detection, and correlation Identify opportunities to automate triage, investigations, enrichment, and reporting. Serve as the internal expert on the capabilities and limitations of AI-based SOC tooling. SIEM & Telemetry Ownership Own the entire SIEM ecosystem—ingestion, normalization, correlation, enrichment, tuning, dashboards, and metrics. Expand telemetry across: Cloud logs, API logs, system events SaaS audit logs and admin events Identity providers (Okta, Google, Azure AD) Endpoint EDR/XDR event streams Standardize data schemas and improve detection signal quality across sources. Detection Engineering Develop high-fidelity detections for: Cloud-native attacks Identity threats and lateral movement SaaS misconfigurations and privilege abuse Endpoint malware/behavior anomalies Insider threats and account takeover patterns Use MITRE ATT&CK, MITRE Cloud Matrix, and threat intel to drive detection coverage. Collaborate with Engineering, Cloud Security, and SRE to ensure telemetry supports detection use cases. Triage, Threat Analysis & Escalation Lead day-to-day triage and threat analysis activities, ensuring accurate categorization and prioritization. Drive complex investigations involving correlated events across cloud, SaaS, endpoints, and developer platforms. Guide root cause analysis and work with owners to drive remediation and architectural improvements. Continuously refine logic, reduce false positives, and improve signal quality. Cross-Functional Collaboration Partner with Cloud Security on cloud posture and preventative controls. Work with Compliance/GRC to support SOC 2, ISO 27001, and audit readiness. Collaborate with SRE and Engineering to instrument new services with structured logs and detection hooks. Coordinate with IT / Endpoint teams to ensure full endpoint telemetry and EDR response readiness. Communicate threats, gaps, and trends to leadership and engineering stakeholders. Required Skills & Experience 7+ years of experience in Security Operations, with 3+ years in a senior or lead capacity. Experience leading or collaborating with 24/7 SOC environments (internal, hybrid, or MSSP). Strong experience with SIEM platforms (Chronicle, Splunk, Elastic, Sentinel, Panther, etc.). Deep understanding of: Cloud security monitoring (GCP required; AWS/Azure preferred) SaaS security monitoring (Okta, Google Workspace, GitHub, Slack, etc.) Endpoint security telemetry (EDR/XDR tools such as CrowdStrike, SentinelOne, or Defender) Kubernetes and container detection Hands-on detection engineering skills, event correlation, threat hunting, and log analysis. Familiarity with AI-based SOC platforms and LLM-driven detection/triage tools. Strong understanding of identity security, OAuth/OIDC, and API telemetry patterns. Experience with SOAR and scripting (Python, Go, Bash). Knowledge of MITRE ATT&CK, cloud kill chains, behavioral detections, and detection lifecycle management. Preferred