Software Engineering Technical Leader | Python/GO | Agentic AI | APIs | Generative AI | Kubernetes/Docker | MCP/A2A - 8 to 12 - Bangalore

Meet the Team

The Cisco IQ and Validation team is building the next generation of intelligent, AI-driven network validation and automation capabilities. We combine cloud-native software engineering, Agentic AI, LLMs, MCP, A2A, and network automation to enable customers to validate and operate complex environments more intelligently. The team brings together architects, senior engineers, software engineers, AI specialists, and domain experts working across a global organization. We are building foundational capabilities that will enable AI agents to reason, interact with enterprise tools, and safely execute validation workflows at scale.

Your Impact

Define and drive the architecture for AI decision systems, Agentic AI platforms, and enterprise-scale validation and automation capabilities within Cisco IQ and Validation. Establish technical direction for agent architectures, MCP and A2A integrations, agent routing, tool orchestration, workflow execution, approval-gated actions, and distributed event-driven systems. Guide architecture across backend services, APIs, databases, Kubernetes, cloud infrastructure, observability, and production operations to ensure solutions are scalable, secure, reliable, and maintainable. Drive technical alignment across Engineering, Product, UX, Security, Infrastructure, QA, and partner teams and provide technical leadership for complex, ambiguous, cross-functional initiatives. Mentor senior engineers and technical leads while influencing platform strategy, engineering standards, and the long-term evolution of Validation.

Minimum Qualifications

• 8+ years of professional software engineering experience designing and building complex backend, distributed, automation, or platform systems.

• Experience with Python Go, Rust, TypeScript, React, Node.js, .NET, PostgreSQL, Redis, Kafka, or similar technologies.

• 3+ years of experience designing distributed systems using APIs, databases, event-driven architectures, workflow systems, or cloud-native technologies.

• 2+ years of hands-on experience developing or architecting Generative AI, LLM, Agentic AI, MCP, A2A, or AI-enabled automation systems.