Senior Software Engineer - Cisco ThousandEyes

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 Engineer to join our newly formed Autonomous Security team. This is not a traditional "monitor and patch" role.

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).