Senior/Staff Software Engineer, ReadySet
Database Internals
$150-220k
This salary range includes multiple locations. Eligible for equity.
SQL caching engine
Be an early applicant
SQL caching engine
21-100 employees
Be an early applicant
$150-220k
This salary range includes multiple locations. Eligible for equity.
21-100 employees
Company mission
To build the future data layer of the web.
Role
Who you are
- We’re looking for people who are excited about exploring and productionizing the frontier of distributed systems and DB research to join our fully-remote team
- We’re looking for Senior to Staff level Software Engineers who are experts in one or more of the following: database internals, stream processing, SQL compilers, and SQL query optimization and are excited to continue expanding their depth of knowledge in these fields
- Readyset is a Rust shop, so we are looking for candidates who would also be interested in becoming an expert in writing industrial-grade software in a modern systems programming language that was deemed most beloved by StackOverflow developer surveys for 6 years in a row
- 8+ years of hands-on software engineering experience and 6+ years of experience working on database internals including relational data, query processing, query optimization, or caching
- Considerable expertise in compilers, systems programming, concurrency, caching, batching, etc
- Fluency in one of the following: Rust, C, C++, Golang, or other systems programming languages
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 4 hours of working hours overlap with US Pacific timezone
What the job involves
- This role involves scoping, designing, and building components of the Readyset SQL cache
- You will be formulating ways to represent various queries as dataflow graphs, so an avid interest or prior academic experience in relational algebra and query optimization is highly desirable
- The position includes a research element
- 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
- Design, build, and maintain core components of Readyset, with a focus on performance, scalability, and reliability
- Provide technical leadership by guiding architectural decisions, and advocating for robust, scalable, and supportable systems
- Collaborate cross-functionally to translate user needs and product goals into technical solutions
- Contribute to and help shape engineering processes that prioritize code quality, system observability, and operational excellence
- Communicate complex technical concepts clearly and effectively; both in writing and verbally with internal stakeholders and external contributors
- Actively share your work and insights through blog posts, tech talks, and other channels to help establish Readyset as a go-to resource in the data infrastructure space
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
Company HQ
Beverly Hills, CA
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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