Distributed Systems Engineer

Revel•Los Angeles, CA

2d•Hybrid

About The Position

Revel is seeking a Distributed Systems Engineer to join their founding team. This role will focus on building a new data platform responsible for receiving, storing, and serving telemetry from customer hardware. The platform aims to help customers develop and operate their hardware more effectively. The engineer will be involved in core aspects of the data platform, including ingest, processing, indexing, encoding, compression, storage, and query of multi-modal telemetry, working on problems at all system levels, and participating in the design, build, release, and operation of their work.

Requirements

Worked on the internals of a streaming, storage, or database system, not only on applications that use one. This work can come from a job, research, a course, or open source.
Helped a system grow to a much larger scale, and know what broke.
Went deep on a passion project on your own time to realize an idea and learned some part of the tech stack deeply.
Understand distributed systems fundamentals and their tradeoffs: partitioning, replication, consistency vs. availability, latency vs. throughput, and delivery guarantees.
Write code well in a back-end language (e.g. rust).
Want to know how people use the data, not only how the back end works.
Communicate clearly about technical topics.
Want to work on hard problems on a small team that builds a new product.
Must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

Responsibilities

Build and operate services for ingest, storage, and query.
Design and implement APIs based on programmatic and human user workflows.
Design how the data platform divides work, scales horizontally, and continues to work during failures.
Release work to customers in all environments, and iterate on it based on learnings.
Use the data platform to monitor itself.