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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop AI-native Network APIs and MCP servers that expose real-time network observability and asset data for human and AI agent consumption.
Build autonomous intelligent agents enabling natural language network self-service tasks such as troubleshooting, provisioning, and anomaly remediation.
Lead technical direction and mentoring for network intelligence automation and governance across Equinix's global infrastructure.
Minimum Requirements
5+ years software engineering experience focused on platform, infrastructure, or network software systems.
Proficiency in Python and/or Java for backend API and data pipeline development.
Hands-on experience with AI/LLM development including prompt engineering, tool calling, RAG pipelines, or agent frameworks (e.g. LangChain, LangGraph).
Experience with observability stacks like OpenTelemetry, Prometheus, Grafana, Kafka, and familiarity with Model Context Protocol (MCP) implementation or consumption.
Ideal Candidate Profile
Experienced in designing scalable, production-grade APIs integrating network telemetry and asset inventory data for real-time, programmable network intelligence.
Strong background in AI-native development practices for autonomous agents and complex system orchestration in networking domains.
Comfortable operating at the intersection of network engineering, AI application development, and observability platforms with demonstrated ability to lead technical strategy and cross-functional collaboration.