Senior Staff Engineer - Network Telemetry & Data Platforms
Core
Own the architecture and delivery of Network Observability's data and ETL layer, building pipelines that collect network events, logs, and metrics at scale and turn them into correlated, enriched, decision-ready data for operators, customers, APIs, and AI agents.
Role type
Senior Staff Engineer (Network Telemetry & Data Platforms)
Builds
Large-scale data ingestion, processing, and storage pipelines for network observability
Domain
Network Infrastructure / Data Engineering / Observability
Deliverable
production ML models
Required skills
Large-scale data pipeline design, streaming platforms (Kafka, Pulsar, NATS, RabbitMQ), stream processing (Apache Flink), batch processing (Apache Spark), network observability protocols (SNMP, gNMI, syslog, flow data), OLAP storage (ClickHouse, Druid), time-series databases (Prometheus, Thanos), log management (ELK/OpenSearch), Java/Springboot or Python, AI coding assistants, feature leadership
Preferred skills
Network EMS/NMS/telecom/data center experience, network concepts (BGP, OSPF, MPLS), inventory/topology systems (CMDB, DCIM), OpenTelemetry, Grafana, Loki, Kubernetes, data products for ML/AI, MCP servers
Technologies
Kafka, Pulsar, NATS, RabbitMQ, Apache Flink, Apache Spark, ClickHouse, Druid, Prometheus, Thanos, ELK, OpenSearch, Java, Springboot, Python, OpenTelemetry, Grafana, Loki, Kubernetes, MCP
Responsibilities
Define data contracts and schemas for telemetry ingestion; build real-time processing pipelines for normalization and enrichment; design storage solutions for correlated network data; partner with AI teams to govern data surfaces for agents; define SLOs for pipeline reliability; mentor engineers and lead technical reviews
Seniority
Senior Staff, hands-on IC with feature leadership
