Engineer
Posted 1 Oct 2026
Advertised as “Senior Staff Engineer, Product Security”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6–10 yrs
- Management level
- Individual contributor
No salary listed for this role.
Field of studyComputer Science, Information Technology (or related)
Study levelBachelor's
CertificationsOSCP, OSWE, CSSLP, GIAC
**About Druva
**Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.
Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.
Visit druva.com and follow us on LinkedIn, X and Facebook.
Experience Level: 6–10 Years
Domain: Product Security / AppSec / DevSecOps / AI Security / AI-First SDLC
Role Summary
We are looking for a hands-on Senior Staff Product Security Engineer to join and lead initiatives across our product security landscape. In this role, you will redefine modern Product Security by architecting an AI-first SDLC seamlessly integrating traditional AppSec with advanced AI security practices, automating shift-left pipelines, conducting rigorous threat models for core services and complex AI architectures, and leveraging cutting-edge AI tools to accelerate vulnerability remediation. You will partner directly with engineering leadership, Information Security, GRC, BuildOps, and DevOps teams to secure our SaaS products and safely enable cutting-edge agentic features.
Role & Responsibilities
- AI-First SDLC & Shift-Left Automation: Architect and embed AI-driven security controls (SAST, DAST, SCA, Container, Secrets Detection) directly into CI/CD build pipelines and developer workflows, establishing an intelligent, highly automated AI-first SDLC.
- Operational & Strategic AI Security: Leverage AI tooling operationally (e.g., auto-triage, threat-model drafting, fix generation) while strategizing security controls for product-facing AI features.
- AI & Emerging Tech Threat Modeling: Assess risks specific to Generative and Agentic AI architectures, including MCP integrations, autonomous agents, tool-calling interfaces, multi-agent communication, prompt injections, and memory/context poisoning (OWASP Top 10 for LLMs / Agentic Apps).