Senior Backend Software Engineer, ReadySet

$160-210k

+ Equity

AWS

GCP

Python

Azure

Junior and Mid level

Remote from US

More information about location

Database scaling platform & SQL query cache

Job no longer available

Database scaling platform & SQL query cache

21-100 employees

B2BEnterpriseBig dataAnalyticsSaaSData Analysis

Job no longer available

$160-210k

+ Equity

AWS

GCP

Python

Azure

Junior and Mid level

Remote from US

More information about location

21-100 employees

B2BEnterpriseBig dataAnalyticsSaaSData Analysis

Company mission

To build a modern database scaling platform that sits in front of existing databases and dramatically improves database performance by accelerating reads.

Job

Company

Role

Who you are

2+ years of hands-on software engineering experience
Backend engineering focus
Experience with Python and AWS a must
Experience working on Distributed Systems, Database Systems and Cloud based Services
Experience with service-oriented architectures
Experience with building Cloud Native solutions on AWS, Azure, and Google Cloud is highly desirable
Exposure to building a traditional machine learning system or a service that uses public or self-hosted LLM models
Bachelor's degree in Computer Science, Engineering, or a related field

What the job involves

We’re looking for software engineers who are experts in building systems software with a specialization in Distributed systems, Storage or FileSystems, Database Services, Caching Services or similar services and are excited to continue expanding their depth of knowledge in these fields
In this role, you will scope, design, and build parts of the Cloud platform for the Readyset cache. Experience with building scale-out services is desirable
In your day-to-day work, you’ll iterate on and build production-level code with a growing user base, robust design structure, and rigorous code quality
As a part of a small and growing team, you’ll also work cross-functionally to help scope out product requirements, respond to new customer needs, and develop code to solve complex problems
As a part of our engineering team, you’ll collaborate with other team members to contribute to process improvements, give product and architectural feedback, and work towards making Readyset more robust and feature-complete
In this role, you will build a significant portion of the system hands-on while also guiding others to make sound engineering choices in design and code
The systems you architect and build will be robust, scalable, supportable, and manageable
You will use your speech and written communication proficiency to influence others and establish engineering processes and guidelines
Additionally, you will interact with leaders and colleagues across the company and work collaboratively on projects
As a thought leader in the domain, you will blog about and evangelize the amazing engineering systems you and your colleagues are building

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 has developed 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, 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

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Apr 2022

$29m

SERIES A

Total funding: $29m

Leadership

Alana Marzoev

(Founder & Chairman)

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.

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