Staff Engineer, Software Security

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.

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We are looking for a hands-on Staff Product Security Engineer to join our team. In this role, you will bridge traditional AppSec with modern AI security - automating shift-left pipelines, conducting threat models for core services and AI architectures, and leveraging AI tools to accelerate vulnerability remediation. You will partner directly with engineering, Information Security, GRC, BuildOps & DevOps teams to secure our SaaS products and safely enable cutting-edge agentic features.

What you will do:

• Shift-Left Automation & DevSecOps: Integrate and maintain automated security controls (SAST, DAST, SCA,Container, Secrets Detection) directly into CI/CD build pipelines and developer workflows.

• 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).

• Developer Guidance & Vulnerability Remediation: Review code (Python, Go, Javascript, etc), triage findings, and partner with engineering to implement robust short and long-term security fixes.