Software Engineer, Autonomous Security - ThousandEyes

Job description

Meet the Team Cisco ThousandEyes is a Digital Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios. Your Impact We are seeking a visionary Software Engineers to join our newly formed Autonomous Security team. This is not a traditional "monitor and patch" role. In this position, you will be at the forefront of the next evolution of cybersecurity: Autonomous (AI) Security Team. Your mission will be to design, build, and deploy AI agents that act as autonomous security researchers and first responders. You will move our security posture from "Human-in-the-loop" to "Human-on-the-loop," creating a self-healing infrastructure that identifies, tests, and mitigates vulnerabilities at machine speed. AI Agent Development: Build and fine-tune LLM-based agents to perform automated vulnerability research and code analysis. Autonomous Remediation: Develop "self-healing" pipelines that automatically generate, test, and deploy security patches and dependency updates via Kargo and ArgoCD. Threat Mitigation: Design AI-driven logic to detect anomalous traffic patterns and autonomously update WAF rules or service mesh configurations to neutralize external threats in real-time. Pipeline Integration: Integrate AI security tooling directly into our CI/CD lifecycle, ensuring that security is an automated, invisible, and frictionless part of the development process. Security Orchestration: Build the "nervous system" that connects security scanning tools (Snyk, Wiz, etc.) with AI agents to prioritize and resolve alerts without manual triage. Minimum Qualifications DevSecOps Expertise: demonstrated ability in DevOps or Security Engineering, with a deep understanding of CI/CD, Kubernetes, and cloud-native security. AI/ML Familiarity: Demonstrable experience (or strong project portfolio) working with Large Language Models (LLMs), Prompt Engineering, or building Agentic workflows Automation Mastery: Expert-level proficiency in Python or Go, and experience with Infrastructure as Code (Terraform, Pulumi). Cloud-Native Stack: Hands-on experience with Kubernetes, Service Mesh (Istio/Linkerd), and GitOps tools (ArgoCD, Kargo). Security Mindset: Solid understanding of the OWASP Top 10, CVE lifecycles, and modern exploit techniques. Preferred Qualifications Familiarity with vector databases (Pinecone, Milvus) for security context retrieval. Familiarity with "Policy as Code" (OPA/Rego). Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.