Principal Network Observability Data Architect
Equinix•Redwood City, CA
•$213,000 - $319,000
About The Position
As the Principal Engineer for NPE Observability, you are the lead architect for the distributed systems that ingest, store, and analyze our global network state. You will bridge the gap between network protocols and big data patterns, designing high-performance ingestion engines capable of handling trillions of telemetry points. Your role is to architect massively parallel processing pipelines and stateful stream processing frameworks that enable real-time anomaly detection across our global infrastructure. You will build the high-throughput, low-latency data fabric that makes our network self-aware.
Requirements
- 10+ years architecting distributed systems, high-scale observability platforms, or mission-critical network software
- Bachelor’s degree in Computer Science or Computer Engineering, or a related field
- Expert-level proficiency in Java and Go for building high-performance systems
- Deep fluency in gNMI, SNMP and Flow protocols; extensive experience architecting on Kubernetes, Jenkins and ArgoCD.
- Proficiency and experience working with service provider networking technologies and protocols, including BGP, IS-IS, MPLS, QoS, EVPN, VXLAN
- Expert experience architecting distributed systems and high-scale observability fabrics, with a specialized mastery of OLAP and Time-Series Database architectures such as ClickHouse, Prometheus/Thanos, or InfluxDB.
- Proven track record of designing schemas and tuning storage engines for high-cardinality network telemetry (trillions of events), utilizing Kappa/Lambda patterns and stateful stream processing via Apache Flink and Kafka
- Proven experience developing AI Agents using LLMs, including Function Calling, RAG, and agentic orchestration
Responsibilities
- Define the multi-year architecture for a unified on-prem and telemetry ecosystem, evolving our global infrastructure into a self-healing "intelligent network"
- Direct the lifecycle of network data, from GNMI/SNMP ingestion to structured storage, ensuring telemetry is normalized, consistent, and optimized for large-scale AI modeling
- Integrate industry-frontier practices in LLMOps, tool-use frameworks (MCP), and agentic workflows to accelerate incident root-cause analysis of telemetry data and automated remediation/alerting
- Architect the interplay between network and application layers, optimizing the computational processing across different network protocols
- Design high-throughput, resilient pipelines proposing architectures to ingest trillions of events for predictive AIOps
- Enforce SOLID and Clean Architecture principles across network telemetry pipelines, observability data stores, and AI agent orchestration layers to ensure reliable, low-latency insight into network health
- Act as a force multiplier by bridging NetOps, DevOps, and Security to standardize the “MELT” (Metrics, Events, Logs, Traces) strategy across all global interconnection points
- Level up Staff and Senior engineers through deep-dive design reviews and strategic coaching on network centric observability best practices
Benefits
- Employee Assistance Program
- Health insurance
- Life insurance
- Disability insurance
- Voluntary plans
- Retirement plan
- Paid Time Off (PTO)
- Paid Holidays
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What This Job Offers
Job Type
Full-time
Career Level
Principal
