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Senior, niche ML+security role reduces pool, but Tier-1 brand and Bangalore metro increase applicant interest.
Requires deep ML, security, and cloud-native platform experience, limiting cross-industry transferability.
Explicit seniority plus mandatory deep ML, security, cloud-native and language skills make screening highly strict.
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Lead integration of AI/ML and LLM technologies into Cisco’s networking and security platforms to enhance threat detection, anomaly analysis, and intelligent policy enforcement.
Design and implement security-first, cloud-native architectures including firewall, Zero Trust access, and runtime security solutions leveraging Kubernetes and multi-cloud environments.
Own end-to-end delivery from architecture through production, including large-scale telemetry and real-time AI inference systems, and mentor across cross-disciplinary teams in security, AI, and platform engineering.
12+ years of experience in platform engineering, distributed systems, or security architecture.
Strong expertise in network and cloud security (firewalls, Zero Trust, secure access) plus cloud-native systems (Kubernetes, microservices).
Hands-on experience building and scaling LLM/AI applications for security use cases in production.
Proficiency in C/C++, Go, and/or Java programming plus Python for AI integration and automation.
Experienced in driving complex, cross-functional platform initiatives connecting AI innovation directly to business and customer outcomes.
Demonstrated knowledge in advanced security architectures including Zero Trust, SSE/SASE, identity-driven models, and cloud-native security tooling (e.g., Tetragon, eBPF).
Comfortable working at the intersection of AI, security, and cloud-native distributed systems environments with a strong product and operational focus.