At Tinybird, we enable developers and data teams to harness the power of realtime data and quickly build data pipelines and data products. With Tinybird, you can ingest multiple sources of data at scale, query and shape it using the 100% pure SQL you already know and love, and publish the results as low-latency, high-concurrency APIs that you consume in your applications. Developers can create fast APIs, faster. What used to take hours and days now only takes minutes. Tinybird is the indispensable tool that data engineers and software developers have been waiting for.
Our founding team has deep expertise building cloud and data intensive products serving organizations all over the world, and we are backed by great team members and investors who have built or are building some of the most relevant developer tools out there (including the Founders of GitHub, Algolia, and Vercel, amongst others).
Being a remote-first company with over 60 birdies from different nationalities, we believe our strength lies in cultivating a diverse environment. Everyone at Tinybird plays a role in forming and executing our strategy, and we truly believe our globally diverse workforce is the key to unlocking the most value for our customers.
We are looking for someone to help us scale and to keep our software and infrastructure reliable and elastic as we scale. Someone who knows how to make hardware and software play together.
We run our stack in Linux. We try to keep things simple. Technologies we use:
Our number of machines is still manageable, but the number keeps growing as we keep adding customers.
This is not about managing infrastructure but about making sure that our software uses the hardware resources wisely and flexibly. This means you will not only have to worry about automating machines, but about helping the product team to design and develop the architecture of the system as a whole. That will require you to work with our backend code and to understand how ClickHouse works.
Some challenges and things we want to improve:
As a specific challenge: when our customers grow and we need to upgrade their accounts. Now, we do it manually—not in the traditional sense of manual because we have tools that automate much of the process, but we need to take care of that one customer at a time: deciding what machines we need to spin-up, how much storage we will provision, etc. Ideally, our architecture should allow our customers to upgrade themselves and assign more resources to them dynamically and seamlessly in the most dynamic, safe and transparent way possible.
Here you have our company principles.
Apply telling us a bit about yourself and ask us whatever you need to know about the problem we are trying to solve, the company, your role, etc.
Tinybird - How We Processed 12 Trillion Rows During Black Friday - Percona Live 2021
Build Fast APIs Faster Over Data at Scale
Killing the ProcessPoolExecutor