Network observability platform unifying flow, cloud, device and synthetic data
Kentik sells a network intelligence platform built on Go, Rust, Kafka, PostgreSQL and Redis, with Nomad and Envoy in the infrastructure layer, a stack tuned for high-volume telemetry ingest and fast queries. Hiring is minimal and skews to senior sales and support roles across the US, Japan and Germany, while job posts point to storage-layer scaling work and a Kentik Cloud launch.
Kentik, founded in 2014 and headquartered in San Francisco, builds a network observability and analytics platform for infrastructure and network engineering teams. The product correlates flow, device, cloud and synthetic telemetry to give visibility from data center to cloud to the internet, with use cases spanning NetFlow analytics, DDoS detection, container and cloud networking. The company is privately held with 201–500 employees and sells to large enterprises through a sales motion supported by Salesforce, Salesloft, Gong and Gainsight. Current hiring covers the United States, Japan and Germany.
Kentik's engineering stack includes Go, Rust, Python, React, Node.js, Kafka, PostgreSQL, MySQL, Redis, Envoy and HashiCorp Nomad, with Looker and Pendo for analytics and Salesforce, Salesloft and Gong for sales.
Hiring is currently minimal and concentrated in senior sales and customer support roles, with light engineering and marketing activity, across the United States, Japan and Germany.
Job posts point to a Kentik Cloud product launch, a high-performance storage layer with a multi-year roadmap for KDE storage services, and integrations with customers' in-house tools.
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Kentik's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.