Scalyr | Site Reliability Engineers | Full-Time | San Mateo, CA
Scalyr’s mission is to provide a different approach to unified observability and log management that is built for modern application development and deployment practices. Founded by Steve Newman, who is also the Writely (aka Google Docs) founder and lead engineer, and led by tech industry veteran and CEO Christine Heckart, Scalyr offers an integrated and extensible suite of monitoring, management, visualization and analysis tools that aggregate and search all the signals needed for real-time observability, including logs, metrics and traces. We are the only observability and log management provider that does not index data and scales horizontally, is blazing fast and is ultra-affordable. The opportunity in front of us is huge and we are still in the very early days. This is going to be one of those companies where people will look back and say “I wish I’d been there when…” well, this is your chance to be part of “when”.
We are growing fast and thanks to the unique purpose-build database technology laid by Steve. Our solution operates at Petabyte scale, brag blazing fast search and make data available for searches in ~2 seconds past ingesting. “Existing log management tools were often slow and clunky, so we were facing a challenge, but the good kind — an opportunity to deliver a new user experience through solid engineering”. With Scalyr, we keep users like you “in the zone” as they handle incidents or debug cloud applications.
You will have the opportunity to gain excellent on-the-job experience working for a fast-moving software division building full-stack microservices. You will develop performant, scalable applications that are translated into 23 languages and used in 192 countries. Scale messages per second processing throughput. Scale large volume of time based data. Applications run in Amazon Web Services and you will leverage Docker, AngularJS, WebPack, Bootstrap, TypeScript, NodeJS, C# .NET Core and Apache Kafka. Come join us if you like solving hard scaling problems that involve billions of rows.
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