Principal Network Observability Data Architect
Core
Lead architect for distributed systems ingesting, storing, and analyzing global network state to enable real-time anomaly detection and AI-driven self-healing networks.
Role type
Principal Network Observability Data Architect
Builds
High-throughput, low-latency data fabric and massively parallel processing pipelines for trillions of telemetry points
Domain
Telecommunications infrastructure, Network Engineering, Big Data, AI/LLMOps
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, High-scale observability platforms, Java, Go, gNMI, SNMP, Flow protocols, Kubernetes, ArgoCD, BGP, IS-IS, MPLS, QoS, EVPN, VXLAN, OLAP, Time-Series Databases, Apache Flink, Kafka, LLMs, Function Calling, RAG, Agentic orchestration
Preferred skills
None stated
Technologies
ClickHouse, Prometheus, Thanos, InfluxDB, Jenkins, Apache Flink, Kafka, Kubernetes, ArgoCD
Responsibilities
Define multi-year architecture for unified on-prem and telemetry ecosystem, Direct lifecycle of network data from ingestion to structured storage, Integrate LLMOps and agentic workflows for incident root-cause analysis, Architect interplay between network and application layers, Design high-throughput resilient pipelines for predictive AIOps, Mentor Staff and Senior engineers on observability best practices
Seniority
Principal, hands-on IC with strategic leadership