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We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.

You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.

What You'll Do
Drive Groundbreaking Research

Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team

Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

Required Security Operations & Automation
About Your Day-to-Day:
As a Security Operations & Automation, you'll be the hands-on architect of how we detect, investigates, and responds to threats - built around AI agents and deep tooling integrations, not manual triage. You'll own incident response across corporate systems, workstations, and identity, unify alerts from every source - including cloud-originated signals that need a response - into a single SOAR/XDR fabric, and deploy AI agents to handle first-line investigation and response.
You'll work closely with IT and the Cloud Security team - taking the lead on investigation, triage, and response while they own the underlying cloud and SDLC architecture - and turn complex security signals into structured, AI-assisted, largely autonomous outcomes - fighting fire with fire.
Responsibilities:
Architect and own our AI-driven detection and response stack, integrating SIEM, XDR, SOAR, EDR, and IAM into a single automated fabric rather than siloed tools.
Deploy and tune AI agents to handle first-line alert triage, enrichment, and investigation, with humans engaged only for true edge cases - manual L1 triage is the exception, not the default.
Build SOAR playbooks and integrations across the security and IT toolchain (endpoint, identity, ticketing, chat) so detection, enrichment, and remediation run automatically end to end - regardless of which system or platform an alert originates from.
Own the alert pipeline as a whole: unify signals from EDR, IAM, and other sources - including cloud and SaaS alerts surfaced by the Cloud Security team - into one triage and response workflow, so nothing falls through the cracks between tools.
Evaluate and integrate best-of-breed, AI-native security tools - SIEM, XDR, SOAR, EDR, email security, AI guardrails, ZTNA, and others - wiring each into the unified detection and response fabric rather than running them as siloed point solutions. Hands-on tool integration (APIs, connectors, log and telemetry ingestion) is a core skill for this role, not an occasional task.
Drive vulnerability and patch management across corporate systems and endpoints, automating prioritization and remediation workflows and coordinating with IT against strict SLAs.
Build and tune detection rules specific to our environment, treating detection as code and feeding AI-driven correlation across the XDR layer.
Maintain security dashboards (MTTD/MTTR, automation rate, % of alerts resolved without human touch) and report on how automation is cutting noise and response time.