Senior Backend Software Engineer, ReadySet

Cloud Platform

$160-210k

+ Equity

AWS
GCP
Python
Azure
Senior and Expert level
Remote in US
ReadySet

SQL caching engine

Be an early applicant

ReadySet

SQL caching engine

21-100 employees

B2BEnterpriseBig dataAnalyticsSaaSData Analysis

Be an early applicant

$160-210k

+ Equity

AWS
GCP
Python
Azure
Senior and Expert level
Remote in US

21-100 employees

B2BEnterpriseBig dataAnalyticsSaaSData Analysis

Company mission

To build the future data layer of the web.

Company mission

To build the future data layer of the web.

Our take

Once applications begin to gain popularity, databases need to be able to handle an increased volume of requests, larger data sets, and more complicated queries. Databases that can’t keep up can lead to substantial business losses precisely when there’s most to be gained: Super Bowl weekend, for example, or Black Friday. ReadySet is looking to help companies dodge this issue.

The company is developing a plug-and-play data caching layer that pre-computes and caches query results in relational databases, meaning that database reads can remain fast. In fact, ReadySet claims that the layer supports millions of reads per second “with sub-millisecond latencies on a single node”.

This is a hugely impressive feat from the company, founded by a team of data systems researchers from MIT, for whom ReadySet began as Noria - the open source streaming data-flow system developed in the lab. Plus, whilst it’s still in development, surveys suggest that there’s substantial enterprise appetite for this kind of product. This is partly thanks to unfit legacy systems, and partly in anticipation of the swelling user and data volumes anticipated for the years ahead - both are good news for ReadySet.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • Unlimited PTO with minimum vacation recommendations
  • 90 days of paid parental leave
  • We actively encourage participation at conferences and events
  • Team offsites - a few times a year, the whole company meets to facilitate in person collaboration and team bonding
  • Virtual game hours & an internal tech talk series for our remote team to learn together and have fun together

Company values

  • Diversity and Inclusion - we have put immense effort into fostering an inclusive, diverse work environment from the time of the company’s founding. We expect everyone to bring empathy and respect to all of their interactions with coworkers and customers
  • Healthy Collaboration - Though every team member at ReadySet is individually exceptional, many of the problems we are solving have not been solved before. This means engineering at ReadySet is a team sport
  • Safety to Fail - as a growth stage company tackling huge engineering challenges, sometimes we fail. When this happens, we don’t place blame or keep score and are willing to acknowledge when we could have done better
  • Continuous Learning and Growth - we want to be a company where all employees are excited to continue learning and growing in their area of expertise, no matter which role or team they are a part of

Funding (1 round)

Apr 2022

$29m

SERIES A

Total funding: $29m

This company has top investors

Leadership

Previously worked on ML engineering at BioBots, then ML and Computer Systems Research first at UC Berkeley College of Engineering's RISELab, then at Cornell University College of Engineering. Subsequently worked in cloud infrastructure at Microsoft, and recently completed an MIT PhD in distributed systems and databases.

Jon Gjengset

(Co-Founder)

Completed a PhD on distributed systems at MIT and worked a spell there as a TA, before moving into a Senior Software Development Engineer role at AWS. Has also spent nearly two decades as a Supervisor and Web Developer at Oksnøen Leir camp.

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Software Engineering