ParadeDB is an alternative to Elasticsearch built on Postgres. We build state-of-the-art full-text search and columnar analytics inside Postgres as a Postgres extension.

We help companies like Modern Treasury, BILT Rewards, Alibaba Cloud, and several others enjoy lower downtime, lower costs, higher performance, and real-time consistency between their OLTP and search/OLAP stacks. They accomplish this by deploying ParadeDB as a replica of their primary Postgres (e.g. AWS RDS, GCP CloudSQL) via Postgres logical replication to replace Elasticsearch clusters and ETL pipelines.

We're a small, focused team of experienced engineers committed to fostering an inclusive and fun work environment. Our team is distributed between North America and Europe, with an optional office in NYC. We maintain a flat structure, have strong investors, and have lots of room for growth.

What we want

We're looking for a columnar analytics database engineer to join our team full-time. The ideal candidate should have:

A solid foundation in data systems/internals

Experience building analytical query engines, from columnar storage to query optimization (bonus points if you were responsible for building vectorized processing optimizations)

Proficiency in systems programming with C/C++/Rust/Zig (bonus points for Rust)

Strong background in full-text search systems and familiarity with Tantivy is a plus

Familiarity with Postgres internals and pgrx is a plus

We're seeking someone creative, independent, and excited by difficult technical challenges who can teach us as much as they learn from us. The ideal candidate will bring thoughtful opinions to the team, be excited to engage with and learn from customers, and be willing to wear many hats.

What you want

You want to be part of the core team of a fast-growing infrastructure startup

You want to wear many hats and interface directly with customers

You’re passionate about the OLAP ecosystem, Postgres, databases, and/or search technologies

You’re excited about diving deep into the internals of Postgres and writing high-performance, safe Rust code to elevate Postgres for search and analytical workloads

You’re excited to build a state-of-the-art analytical query engine in Postgres and grow to own a meaningful part of the ParadeDB product

You’re excited to learn about the internals of Tantivy and draw inspirations from systems like DuckDB, Apache DataFusion, and columnar file formats like Parquet/Arrow to inspire Postgres optimizations in ParadeDB

You believe in open-source and want to contribute to building a sustainable open-source business

You want autonomy over your work and the opportunity to make impactful design decisions

What you've done

You have meaningful experience working on OLAP query engines, especially when it comes to query optimization, whether through contributions to commercial projects or through high-quality open-source work

You have prior experience working on complex data systems in C, C++ or Rust and can navigate a complex codebase effectively (bonus points if you have contributions to an open-source project that you can showcase)

You have architected data system(s) focusing on performance, scalability, and maintainability (bonus points if in Rust)

You have optimized and debugged complex systems using profiling tools

You have prior experience at a small, high-performing startup

Overall, you’re smart, willing to work hard, communicative, and open to learning about any service or framework you may not have worked with before

What you'll do

Develop and optimize the ParadeDB columnar query engine from the storage layout to the query processing, based on customer workloads

Develop and optimize the ParadeDB Postgres extension by developing features interfacing with Postgres block storage, query planner, query executor, index definition, and more using Postgres APIs in Rust via pgrx

Develop with the internals of Tantivy, sometimes making modifications to Tantivy as required, to develop new features within the ParadeDB Postgres extension

Design and implement efficient data structures and algorithms for search and analytics functionality, drawing inspiration from or directly utilizing existing open-source projects

Optimize query performance and resource utilization using profiling tools

Develop and maintain documentation, including API references and user guides

Contribute to technical writing, product demos, and content marketing

Engage directly with our customers and open-source community on GitHub and Slack

Help shape ParadeDB's product roadmap and technical direction

What's next

Please send your resume and anything else you'd like to share to founders@paradedb.com. We will get back to you as soon as we can. We're excited to meet you!

ParadeDB is committed to fostering a welcoming and inclusive work environment for people of all backgrounds. We urge candidates of all backgrounds to apply. If you require specific accommodations, please let us know at accommodations@paradedb.com.

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