2 days ago
Responsibilities
- Define the architecture and technical roadmap for CASB and Application Visibility and Control capabilities.
- Lead application discovery, classification, granular application controls, SaaS tenant controls, and offline or API-based DLP and malware scanning.
- Own the technical strategy for the CASI application-intelligence platform, including data quality, confidence scoring, human validation, model monitoring, update speed, and scale.
- Lead AI-powered security capabilities, generative AI application controls, and responsible AI adoption across the product development lifecycle.
- Guide designs covering security, privacy, performance, scalability, resilience, observability, quality, troubleshooting, and cost efficiency.
- Translate customer needs, emerging threats, and product priorities into scalable capabilities with product, research, architecture, and engineering teams.
- Provide cross-team technical leadership and mentorship while resolving complex architectural issues and raising engineering standards.
Requirements
- Bachelor’s degree in computer science, computer engineering, electrical engineering, or a related field, or equivalent practical experience.
- Typically 12+ years of software engineering experience, including architecture and technical leadership across multiple teams.
- Direct experience with CASB, AVC, SSE/SASE, Secure Web Gateway, DLP, malware protection, or SaaS tenant security.
- Experience building application-discovery, traffic-classification, application-intelligence, or high-volume telemetry systems.
- Experience designing and operating large-scale, cloud-native distributed systems.
- Experience architecting or integrating AI or machine-learning capabilities into production products or engineering workflows.
- Strong background in cloud-delivered web, SaaS, network, or data security, including policy enforcement and data protection.
- Ability to remain hands-on while influencing senior stakeholders, guiding complex designs, and mentoring experienced engineers.
- Preferred: master’s degree or PhD in computer science, cybersecurity, machine learning, or a related field.
- Preferred: experience with AI-based classification, human-in-the-loop workflows, model evaluation, monitoring, MLOps, and global multi-tenant AWS services.
About Cisco
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all.