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.
- Supply Chain & Software Integrity: Manage third-party open-source risks, open-source dependency tracking, Software Bills of Materials (SBOMs), and secure MCP/agent server ecosystems.
- Enablement & Champions Program: Conduct secure coding workshops, train developers on secure AI usage, and help grow an active Security Champions network.
What you will bring in:
- Experience: 3–5 years of security engineering experience in a SaaS product company.
- AppSec Fundamentals: Deep expertise in OWASP Top 10, CWE 25, threat modeling, cryptography, container security, and secure SDLC frameworks (SAMM, Microsoft SDL).
- AI Security Expertise: Hands-on experience reviewing AI security risks - specifically around Agentic AI systems, MCP security (authorization, tool poisoning, confused deputy risks), and LLM security controls.
- Operational AI Use-Cases: Experience using AI tools to optimize security engineering workflows (e.g., automating root-cause analysis, threat modeling assistance, automated policy generation).
- Programming & Tooling: Proficient in code review and scripting with Python, Go, or Javascript (hands-on development experience is a major plus). Hands-on with tools like Burp Suite, Snyk, OWASP ZAP, and CI/CD security scanners.
- Education & Certifications: Bachelor’s degree in CS/IT or equivalent. Relevant certifications (OSCP, OSWE, CSSLP, GIAC) or active community contributions (OWASP, BSides, NullCon, Black Hat, etc) are a plus.
