Staff Security Engineer, Security Operations - Moveworks

ServiceNow is hiring a Staff Security Engineer for the Moveworks Security team. The role designs and builds agentic AI systems to automate threat hunting, incident response, and security validation, while shaping the architecture and roadmap for AI-driven defense.

Responsibilities:

• Building and AI Orchestration: Move beyond basic tool configuration to build, code, design and research advanced, framework-level approaches for chaining MCP servers and AI agents. You will optimize agentic networks for maximum performance, multi-step reasoning accuracy, and deterministic outcomes in high-stress security scenarios
• Proactive Threat Hunting Program: Architect and scale a proactive threat hunting program from scratch. You will leverage custom agents, MCP capabilities, and security tooling to proactively discover complex vulnerabilities, configuration drift, and hidden threats across the infrastructure network
• Advanced Purple Team Synergies: Forge a cutting-edge feedback loop between the Blue Team and our internally developed AI Red Team Agent. You will seamlessly bridge automated offense and defense, turning threat hunting insights into self-healing infrastructure
• Cross-Functional Influence & Leadership: Act as a strategic engineering partner across IT, Security Engineering, DevOps, DevSecOps, Compliance, Cloud, and Infrastructure teams to ensure corporate systems are natively "automation-ready."
• E2E IR Automation Architecture: Own the overarching engineering roadmap for the end-to-end incident response lifecycle (Detection → Triage → Containment → Recovery), replacing traditional SOAR workflows with resilient, agentic orchestration
• Incident Commander Escalation: Serve as a high-tier technical escalation point for active, complex incidents. Use every incident as an adversarial data point to design superior automated immune responses
• Validate the Defense: Design, execute, and validate automated simulation testing to systematically prove that agentic workflows and detection pipelines trigger reliably against real-world attack behaviors

Requirements:

• U.S. Citizenship Required: (Must meet strict compliance/FedRAMP criteria)
• 8–10 years of experience in Security Operations, Systems Engineering, or DevSecOps (Minimum 5 years of highly relevant engineering experience required)
• 3–5 years of proven track record working closely across multidisciplinary teams including Cloud Infrastructure, DevOps, DevSecOps, Compliance, and IT
• Deep familiarity with modern LLM agent frameworks, including active research into their application, performance trade-offs, and behavioral guardrails
• You know how to deeply integrate LLMs, orchestrate custom MCP servers, and build autonomous technical workflows
• High proficiency in Python and software engineering principles
• You have extensive past experience with traditional workflow engines and legacy SOAR tooling, giving you the context needed to successfully replace them with AI-native alternatives
• Strong, hands-on architectural familiarity with AWS security ecosystems (IAM, CloudTrail, GuardDuty) and containerized environments (Kubernetes/EKS)
• While an engineer first, you possess the communication skills and security compliance maturity to translate framework controls into automated, code-driven evidence generation pipelines
• A high-autonomy, high-collaboration mindset
• You thrive in a lean, elite, fast-moving team environment where you independently drive massive technical impact while mentoring and leveling up surrounding engineers
• Bonus points for direct collaboration experience with Product Security or Data Security teams