DBS·0097
Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval)
Summary
Cloudflare is hiring a Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval) in Hybrid. The role focuses on operating systems & kernel, databases & storage, networking, virtualization & containers, low-latency & performance.
Responsibilities as stated
- Data Delivery: You will build and operate our distributed data delivery pipeline, a high-throughput, low-latency system (primarily written in Go) responsible for ingesting, processing, and routing massive volumes of data from across Cloudflare's global network to multi-core destination.
- Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties.
- As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack.
Location, employment, and compensation
- Location. Hybrid — hybrid
- Employment. unknown
- Compensation. Not stated on the source. NearMetal does not estimate compensation.
- How to apply. On the company’s own posting. NearMetal does not accept applications.
Why this is filed as systems software
- Data Delivery: You will build and operate our distributed data delivery pipeline, a high-throughput, low-latency system (primarily written in Go) responsible for ingesting, processing, and routing massive volumes of data from across Cloudflare's global network to multi-core destination.
- Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties.
- As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack.
Source and corrections
This summary was written from the company’s own posting. NearMetal does not reproduce the full description and does not accept applications.