Software Engineer, Autonomous Security

Cisco

. Design, build, and deploy AI agents that act as autonomous security researchers and first responders .

Posted 10/6/2026full-timeKrakow • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying AI-driven security solutions, with a strong focus on automated vulnerability research, secure coding practices, and CI/CD integration. Proficient in managing cloud environments and implementing security orchestration with a deep understanding of LLM APIs and containerization.

Highest-signal resume keywords

Python DevelopmentGo DevelopmentKubernetes ManagementCI/CD Pipeline AutomationLarge Language Model Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Production Software DevelopmentAutomated ToolingContainerizationSecure Coding PracticesOWASP Top 10 MitigationCVE RemediationAI-Driven Logic DesignAnomalous Traffic DetectionSelf-Healing PipelinesPolicy as Code

Tools & Technologies

KargoArgoCDSnykWizGitHub ActionsGitLab CIPineconeMilvus

Industry Keywords

AI SecurityVulnerability ResearchSecurity OrchestrationCloud EnvironmentsDependency Updates

Tech Stack

Tools & technologies

CloudKubernetesPythonGo

About the role

Key responsibilities & impact

Design, build, and deploy AI agents that act as autonomous security researchers and first responders
Build and fine-tune LLM-based agents for automated vulnerability research and code analysis
Develop self-healing pipelines that generate, test, and deploy security patches and dependency updates via Kargo and ArgoCD
Design AI-driven logic to detect anomalous traffic patterns and update WAF rules or service mesh configurations to neutralize external threats in real time
Integrate AI security tooling into the CI/CD lifecycle
Build security orchestration connecting scanning tools such as Snyk and Wiz with AI agents
Prioritize and resolve security alerts without manual triage

Requirements

What you’ll need

3+ years developing production software, backend services, or automated tooling using Python or Go
Hands-on experience containerizing applications
Experience managing Kubernetes deployments
Experience building automated CI/CD or GitOps pipelines, such as ArgoCD, GitHub Actions, or GitLab CI
Demonstrated experience implementing secure coding practices
Experience applying OWASP Top 10 mitigation strategies
Experience remediating CVEs in cloud environments
Practical experience integrating Large Language Model (LLM) APIs, structured prompt workflows, or agentic frameworks into software applications
Familiarity with vector databases such as Pinecone or Milvus for security context retrieval
Familiarity with Policy as Code, including OPA/Rego

Benefits

Comp & perks

Opportunities to grow and build are limitless
Worldwide network of experts and collaborators
Team collaboration with empathy
Global-scale impact and projects