Sift builds a telemetry platform for engineers operating aerospace, defense and robotics hardware, running a streaming stack of Go, Rust, Kafka, Flink and Redpanda over multiple time-series stores (Druid, Pinot, Timescale, QuestDB, InfluxDB). A WebGL, WebAssembly and D3.js front end points to heavy investment in rendering large real-time datasets. Hiring is engineering-heavy and senior-skewed, while job posts reveal a push into Europe and agentic telemetry analysis.
Notable leadership hires: Head of Quality Engineering
Sift is a privately held company founded in 2022 and headquartered in El Segundo, California, with 51–200 employees. It offers a unified platform for ingesting, storing, visualizing and automatically reviewing machine telemetry, aimed at engineering teams building complex systems such as spacecraft and autonomous vehicles. Its focus markets include defense, aerospace, robotics and autonomous underwater vehicles. The platform also addresses adjacent needs such as regulatory compliance and manufacturing data. The company hires in the United States and the United Kingdom.
Sift's stack includes Go, Rust and Python, streaming with Kafka, Apache Flink and Redpanda, time-series stores like Druid, Apache Pinot and Timescale, and a React, TypeScript, WebGL and WebAssembly front end on AWS, Azure and GCP.
Yes. Engineering dominates Sift's hiring, skewed toward senior roles, with sales as the second-largest function and a Head of Quality Engineering leadership opening; overall hiring pace is slowing.
Sift hires in the United States and the United Kingdom, consistent with its stated plans to expand go-to-market presence across Europe from its El Segundo, California headquarters.
Other companies in the same industry, closest in size
Sift'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.
