Top Cybersecurity Jobs in Boston, MA

Monitor, triage, investigate, and respond to cybersecurity alerts and intrusions. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 activity; determine root causes and recommend remediation. Support threat-related escalations, contribute to detection engineering and tuning, and collaborate across teams. The role requires familiarity with endpoint attack surfaces, threat actor techniques, Windows and domain administration, networking, web security, and basic malware analysis.

Lead macOS security research, including Endpoint Security API telemetry, malware reverse engineering, attack emulation, EDR bypass research, and proof-of-concept development. Collaborate with Detection Engineering, Product, and Engineering to operationalize findings, track Apple platform changes, improve detection coverage, document risks, and mentor teammates. The role also involves building ephemeral research infrastructure and representing the company through technical publications, speaking, and media engagement.

Research and simulate emerging phishing and social-engineering attacks for a security awareness training product. Build realistic phishing emails and landing pages using web technologies, analyze reported incidents and attack trends, automate content generation with AI coding tools, and expand training globally. The role also creates educational content, reports threat insights, supports outreach, and collaborates with product leadership to improve phishing defense outcomes.

Lead the architecture and development of a production Agentic SOC that uses LLM-based agents to investigate security signals, gather evidence, make defensible decisions, and support SOC analysts. Own agent behavior, tool use, evaluation, guardrails, tenant isolation, auditability, reliability, and autonomous decision-making. Collaborate with analysts, detection engineers, product, and engineering teams while providing technical leadership and mentoring. Build scalable backend systems using distributed workflows, queues, cloud infrastructure, and data stores.

Develop and maintain high-fidelity detections across endpoints, identities, SIEM, and operating systems. Conduct hypothesis-driven threat hunts, translate intelligence and attacker tradecraft into detection rules, tune detection efficacy, investigate ambiguous activity, and escalate likely intrusions. Build hunting queries and dashboards, document findings, support incident reporting, contribute to security content, and use validated AI-assisted workflows for detection development and analysis.

Leads North American detection engineering and threat hunting operations, translating global strategy into regional roadmaps, scaling distributed technical teams, managing hiring and budgets, coordinating with Product and Engineering, and directing incident response during major security events. The role owns detection efficacy, performance metrics, cross-region collaboration, and the hunt-to-detect feedback loop while mentoring senior practitioners and advocating for security tooling and telemetry.

Lead internal security incident response as the primary SOC escalation point. Responsibilities include incident triage and validation, tabletop and purple-team exercises, telemetry optimization, threat coverage improvements, post-incident reviews, remediation tracking, stakeholder reporting, and maintaining response playbooks and standards. The role partners with engineering, product security, detection engineering, and offensive security teams to improve organizational resilience.

Own the vision, roadmap, and delivery of internal SOC tooling, including analyst UX, response workflows, investigation models, and automation. Partner with SOC leadership, engineering, design, and product teams to transform manual processes into scalable workflows. Define requirements, interfaces, operational metrics, and investment cases while improving analyst throughput, time-to-close, and delivery repeatability. The role requires deep SOC operations knowledge, cybersecurity product management experience, and expertise building operator-facing platforms and AI-enabled products.

Lead modernization of high-throughput cybersecurity detection engines and event pipelines in Go. Own distributed-system reliability, observability, liveness monitoring, load management, schema standards, drift detection, migration validation, and safe cutovers. Provide hands-on technical leadership across teams, set platform direction, write and review production code, and support Sigma-based detection capabilities. Collaborate across a broad stack including Kafka, Temporal, Redis, ClickHouse, Elasticsearch, Kubernetes, cloud platforms, and Ruby on Rails.

Lead research to detect Windows threats and develop sensor/telemetry capabilities. Collaborate with engineering and product teams to implement detections, investigate false positives/negatives, apply AI to research workflows, produce technical documentation, and mentor others while promoting the company externally.