Chronosphere is a Series A startup delivering the most highly scalable and reliable metric data platform to the world. That platform is M3, which was created by the founders of Chronosphere while at Uber. It is the only open source metric data platform proven at petabyte scale in production, stores over tens of billions of metric time series and ingests and serves billions of data points per second. Are you ready to build a platform for the future?
About the Role
We're looking for a Distributed Storage Engineer who enjoys musing over quorum semantics, the CAP theorem, CRDTs and scaling processes to take full advantage of a 10gb NIC. Not only do we support the largest enterprises in the world, but we also operate a multi-cloud and multi-region platform that hosts time series data for tenants with sophisticated isolation.
You will work on solving complex distributed systems problems at the largest scales in the world
Working on the core time series database, the ingestion and aggregation pipeline
You will also assist to query and alerting engines, every component of the system needs to scale beyond the largest known production use cases that exist today
You will help to make our infrastructure and architecture scale to meet the needs of the platform, and most importantly, solve the needs of engineers and companies using our platform.
Use Go to build highly scalable and reliable distributed systems
Build on top of our architecture stack using Kubernetes, GCP, AWS and Azure
Operate large-scale distributed systems at scale
Chronosphere is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported at work and we welcome your diverse perspective. We do not discriminate based on any legally protected status. We hope you choose to join us.
Please find our EU applicant personal information notice here