Quantitative Trading Firm #015
The Systems team builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to run worldwide 24/7. We are looking for an experienced database engineer who enjoys being challenged, appreciates a flat reporting structure, and thrives in a fast-paced environment. This is an impactful role where you’ll be tasked with designing, building, and maintaining our diverse database infrastructure, which is critical to our success and ability to conduct large scale research and trading across the world.
As a member of a small (but growing!) team, you’ll have the unique opportunity to help set the direction for database infrastructure management and have a significant impact on a critical part of our existing and growing infrastructure. We’re looking for someone who is excited about taking ownership of improving the existing database infrastructure and designing the future of databases.
We are looking to hire multiple engineers to work together to keep systems running smoothly, continuously improve our infrastructure’s reliability and performance, and to aid in rapid prototyping of new systems. We’re not particularly concerned with existing systems knowledge — we’re looking for somebody who is able to understand the broader context of our work and who can research and synthesize new information in order to come up with solutions. We also need a strong communicator who can collect feedback and put it into action. This isn’t a programming role, but you should be able to write readable Python scripts.
A typical day in the life of a Database SRE could look like:
Scaling and productionizing classic DBs such as SQL server, mariaDB, and Postgresql
Scaling and productionizing data lake technologies like Trino and Kafka
Setting up a new system like Pinot, Druid, Dremio
Design, build, and maintain database infrastructure across multiple database types and use cases, from globally distributed trading infrastructure to large-scale research.
Install, configure, and scale databases and big data analytics solutions for large-scale research
Investigate and improve performance of queries and supporting infrastructure (Debian and Windows)
Build proofs of concept to test out new solutions
Build out a team to improve database management company-wide
2+ years of experience working in database management and infrastructure engineering
Familiarity with state-of-the-art DB technologies and tradeoffs: distributed DBs, time-series DBs, relaxed consistency models, columnar storage
Knowledge and experience with Linux or Windows, must be comfortable using Linux/UNIX command line tools
Extensive experience with at least one of: MySQL, Postgres, Yugabyte, SQL Server, CockroachDB, Trino, Kafka
Solid scripting, performance troubleshooting, and networking knowledge
Experience wrangling a documentation-heavy technical problem. Not about coming up with a good algorithm, but rather figuring out how to glue pieces together and which pieces are the right ones
Interest in diving into the JVM GC, AWS and baremetal performance benchmarking, etc. We don’t necessarily need someone who knows these things, but someone who would be able to dive in to their research and come back with some workable solutions.