Security Software Engineering Technical Leader--Cisco Intersight

Meet the Team Cisco Intersight is a cloud-native operations platform that provides unified management, automation, visibility, and lifecycle operations for infrastructure across data center, cloud, and edge environments. As we integrate AI-driven intelligence into our platform, our SaaS, on-premises, and mobile offerings depend on secure, reliable, and high-performance software engineering to build, test, release and operate complex systems at scale. Your Impact You are a Security-Focused Software Engineer providing a dual-lens approach to our architecture: senior security guidance and hands-on software development. Partnering closely with Engineering, Architecture, Product Management, SRE, and Cisco’s Security and Trust Organization (STO), you build secure, resilient, and scalable platform features—including AI-powered capabilities—while maintaining thorough compliance standards. As a primary technical bridge between software development and security, you write production-grade code, assess the security impact of feature designs (including AI services), and build automation to improve our security posture. Roles and Responsibilities Use Go or Java to implement platform security features and core infrastructure. Partner with engineering teams to design secure patterns for AI/ML model deployment, data protection, and inference security within the Intersight ecosystem. Automate security tooling, vulnerability remediation, and continuous compliance checks using Python. Interpret Cisco-level mandates and security procedures into actionable code, control expectations, and automated remediation workflows. Review new feature designs, AI architectures and infrastructure changes, identifying security gaps early and recommending mitigations that balance usability, performance, and security. Guide remediation priorities across automated scans, penetration tests, and security reviews, ensuring issues are triaged, assigned, and supervised to closure. Minimum Qualifications Bachelors' degree in and 8 years of experience designing and maintaining production quality backend systems to include: 5 years using Go or Java within a Microservices architecture. 3 years focused on DevSecOps or application security. Experience using Python for security automation and tooling. Experience with secure development lifecycle (SDLC) requirements and translating security findings into practical code-based remediation plans. Knowledge of vulnerability triage, automated security scan findings, and SLA-based remediation workflows. Preferred Qualifications Experience developing or securing AI/ML workloads, including familiarity with common AI security frameworks (e.g., OWASP Top 10 for LLMs) and MLOps security. Strong understanding of cloud-native platforms, including AWS, Docker and Kubernetes, and how to secure them via Infrastructure-as-Code (Terraform, Ansible).