This position offers hybrid work requiring three days of in-office attendance per week (Galway).
Meet the team
The Collaboration organization at Cisco is building the workplaces of tomorrow by providing innovative solutions that connect people, places, and experiences. By using the latest innovations and tools, we build technology that dissolves the space between people, enabling them to better work together. The work we do is used by millions of people daily, and we’re always seeking ways to improve their experiences. We’re a team of passionate industry experts, eager to help one another do their best work.
Your Impact
Develop, deploy, and operate AI Ops automation for security operations, integrating and tuning AI capabilities based on production data and feedback.
Build monitoring and observability solutions to detect threats in real time.
Implement CI/CD pipelines with embedded security and compliance controls.
Architect and maintain security controls, conduct assessments, and apply hardening across software and infrastructure.
Lead security and compliance testing aligned with standards like SOC 2, FedRAMP, and ISO 27001.
Manage incident response and mitigate risks for AI Ops platforms.
Drive migration and integration with existing systems, define security requirements, and produce performance metrics.
Contribute to threat modeling for AI-driven risks.
Review and author detection logic and automation.
Serve as a senior contributor, mentoring junior staff and leading design reviews to ensure reliability, observability, and security by design.
Minimum Qualifications
Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience
Solid conceptual and practical knowledge in AI Ops, site reliability engineering, or production operations of AI-driven systems, with working knowledge of security engineering practices across a range of technologies.
Preferred Qualifications
Hands‑on experience operating XDR, SIEM, and SOAR platforms such as Cisco XDR and Splunk, and building automated detection and response playbooks.
Track record applying AI and automation to vulnerability management and incident response, including triage, prioritization, containment, and post-incident reporting at scale.
Working knowledge of agentic AI platforms and interoperability standards, such as AGNTCY, Agent Name Service (ANS), Agent-to-Agent (A2A), and Agent Connect Protocol (ACP), along with Amazon Bedrock Agents / AgentCore and frameworks like LangGraph or the OpenAI Agents SDK.
Industry certifications such as CISSP (ISC2) or Cisco CCNP Security / CyberOps Professional.
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