Software Engineering Technical Leader | Enterprise AI Platforms, Infrastructure & Automation
Cisco3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define complex system architectures, specifications, interfaces, pipelines, and compatibility parameters across hardware and software components.
- Lead multi-team engineering initiatives, technical dependencies, project workstreams, and cross-functional governance from inception through completion.
- Shape multi-year software engineering roadmaps and align platform architecture with business and customer outcomes.
- Design, implement, and deliver major architectural frameworks, platform subsystems, and high-impact features.
- Write clean, optimized production code and automated test suites while raising engineering standards across the organization.
- Drive scalability, security, privacy, token throughput, availability, and reliability across platform components.
- Lead threat modeling, attack-surface analysis, zero-trust practices, and compliance enforcement.
- Design observability tooling, monitor telemetry, respond to alerts, and eliminate systemic technical risks.
- Serve as the escalation point for critical outages, lead blameless postmortems, review root-cause analyses, and govern on-call rotations.
- Mentor senior engineers, technical leads, and peers through knowledge-sharing sessions, technical writing, and publications.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field plus 8 years of related experience; or a master’s degree plus 6 years; or a Ph.D. plus 3 years.
- Deep conceptual and practical expertise in software engineering, distributed systems, and platform architecture.
- Hands-on mastery of software development in languages such as Python, TypeScript/JavaScript, Go, C++, or Rust, with experience shipping enterprise-scale systems.
- Experience serving as a technical lead or systems architect for multifunctional engineering teams, authoring technical design RFCs, and establishing engineering standards.
- Extensive experience with system profiling, distributed debugging, automated testing strategy, and high-severity production root-cause analysis.
- Preferred expertise in generative AI, agentic AI, Model Context Protocol, LangGraph, LlamaIndex, vLLM, and multi-agent coordination frameworks.
- Preferred experience with high-throughput microservices, Kafka, asynchronous state machines, Redis, GPU infrastructure, CUDA, Triton Inference Server, Kubernetes, and Docker.
- Preferred knowledge of OAuth 2.0, RFC 8693 Token Exchange, Zero Trust architecture, automated threat modeling, OpenTelemetry, Prometheus, Grafana, Splunk, canary deployment, and self-healing pipelines.
- Preferred contributions to open-source software, whitepapers, patents, or major technical conferences, along with executive communication, negotiation, and partner-management skills.
Tech Stack
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.