AI-Driven Software Security Engineer

020 Cisco Systems, Inc.

North Carolina

On-site

USD 129,000 - 185,000

Full time

3 days ago

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Job summary

Cisco Systems, Inc. is seeking an experienced security-minded software engineer to strengthen our Supply Chain & Legal IT Security team.

You will design, develop, and secure AI-enabled applications within an Agile framework, collaborating with engineers, product owners, and stakeholders to deliver secure, scalable solutions. The role emphasizes DevSecOps, secure coding, and hands-on security testing across cloud and on-prem environments, with mentoring and leadership opportunities for junior

Qualifications

Bachelor's degree in Computer Science, Engineering or related field of study.
5+ years of experience as a SOC Analyst, Detection Engineer, Security Engineer, or Threat Intelligence Analyst or adjacent IT field.
5+ years of experience with full-stack development, design, and technically leading application development.
Strong understanding of AI/ML concepts and experience in implementing AI techniques & MCP tools in practical applications, as well as proficiency in security.
Proficiency in DevSecOps principles, application security, application security testing.
Experienced in MEAN stack, API security, and application integration.
Experience in developing microservices using Angular, GoLang, Python, Node JS, JAVA, Java/Typescript and Restful Services.

Responsibilities

Work with a team of engineers and architects responsible for the software design, development and building applications in Scrum Agile environment.
Experience in delivering AI-native full-stack user-stories as part of agile scrum-team deliverables.
Conduct security assessments, scans, and audits to identify and mitigate vulnerabilities in applications and infrastructure
Perform light-weight application and infrastructure penetration testing
Implement and enforce security best practices for applications, AI platforms / agents, infrastructure as code (IaC), cloud services, and network architectures., AI red-team testing, prompt stress testing, secure MCP/A2A agent validation and defining Policy Based Access Controls.
Automate security: Integrate security tools and checks into the CI/CD pipeline and AI Tools to automate the build, test, and deployment process.
Collaborating with Engineers, Subject Matter Experts, Vendors and Architects to build and peer review applications, manage Skills-libraries and align with secure architectural vision.
Working closely with the Scrum master, Product owner, and global delivery teams to drive and contribute to project releases and sprint work.
Fix Security vulnerabilities and keep the application secure.
Mentoring and providing technical support to junior colleagues.
Design, develop, and optimize in-app and role-based AI Agents with secure, scalable semantic layers, multi-agent protocols, and agent training features.
Collaborate cross-functionally to integrate agents with external tools and services, contributing to a robust integration framework.