echoloc

Sift Tech Stack

Telemetry platform for mission-critical machines and complex systems

Software Development El Segundo, California 51–200 employees Founded 2022 Privately Held

Sift builds a telemetry and monitoring platform designed for engineering teams operating systems too complex for manual oversight—spacecraft, autonomous vehicles, robotics. The stack reveals a data-intensive architecture (Kafka, Redpanda, Apache Flink, Druid, Pinot, Timescale) paired with advanced visualization (React, D3.js, WebGL, ECharts), suggesting they're solving both ingest-at-scale and sensemaking-at-scale problems. Hiring velocity is accelerating with a 14-to-8 engineering-to-sales ratio, while active projects signal geographic expansion (European playbook, go-to-market motion) and internal scaling (infrastructure, cost efficiency, automation).

Tech Stack 71 technologies

Core StackSlack HubSpot AWS Docker Kubernetes Terraform Go Java React TypeScript Kafka Apache Flink Next.js Rust Python PostgreSQL Apache Pinot gRPC Google Calendar Instacart Azure GCP AWS CDK Redpanda Druid Timescale ECharts WebGL D3.js WebAssembly+37 more

What Sift Is Building

Challenges

  • Scaling telemetry
  • Eliminating bottlenecks
  • Improving cost efficiency
  • Expanding go-to-market presence across europe
  • Reducing toil
  • Improving visibility
  • Improving infrastructure reliability
  • Ensuring mission reliability
  • Delivering high-performance for mission-critical operations
  • Closing gap between ideas and production

Active Projects

  • Scalable infrastructure solutions
  • Monitoring and alerting systems
  • High-performance data visualization interfaces
  • Reusable component libraries for complex telemetry data
  • Sift’s european playbook
  • Expanding sift’s customer base in europe
  • Security automation tooling
  • Sift us go-to-market motion
  • Deployment automation
  • Technical evaluations and pilots

Hiring Activity

Accelerating35 roles · 15 in 30d

Department

Engineering
14
Sales
8
Design
2
Security
2
Marketing
1
Ops
1

Seniority

Senior
15
Mid
6
Manager
3
Lead
2
Staff
2

Notable leadership hires: Sales Ops Lead

Company intelligence

Find more companies like Sift by tech stack, pain points and active projects

Get started free

About Sift

Sift provides a unified platform for ingesting, storing, and analyzing telemetry data from complex machines and systems. The product targets aerospace, defense, robotics, and autonomous vehicle engineering teams who need to detect unusual conditions automatically and visualize massive data volumes in real time. Founded in 2022 from challenges encountered in spaceflight, the company operates at 51–200 employees across the United States and United Kingdom, with active hiring in engineering, sales, and design roles. Core capability areas span data ingestion (Kafka/Redpanda), stream processing (Flink), analytical storage (Druid/Pinot), and interactive visualization, enabling engineers to close the feedback loop between development and production.

HeadquartersEl Segundo, California
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Sift use?

Sift's stack includes Kafka and Redpanda for event streaming, Apache Flink for stream processing, Druid and Pinot for analytical storage, PostgreSQL for relational data, and React, D3.js, WebGL, and ECharts for visualization. Infrastructure runs on AWS, Azure, and GCP with Kubernetes and Terraform.

Where is Sift headquartered?

Sift is headquartered in El Segundo, California. The company was founded in 2022 and is privately held with 51–200 employees.

Similar Companies in Software Development

Other companies in the same industry, closest in size

How this profile is built

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.