- Job title
- Database Engineer — Storage & Query Execution
- Job location
- San Francisco, CA, US / Remote (CA; US)
- Job description
- # What we do
[ParadeDB](https://paradedb.com) is a Postgres-native alternative to Elasticsearch. We build state-of-the-art search (full-text, vector, and hybrid) and columnar analytics as a Postgres extension.
Companies like Modern Treasury, BILT Rewards, Alibaba Cloud, and many others use ParadeDB to:
* Eliminate ETL/change data capture tools
* Add transactional guarantees to their search indexes
* Perform JOINs on their search data
* Unify their search & transactional stack for agentic workloads
We're a small, focused team of engineers dedicated to creating an inclusive and enjoyable work environment. We’re primarily distributed across the United States and Canada, with a small office in San Francisco. We’re a Series A company with a flat structure, strong backing from investors, and plenty of room for growth.
# What we want
We're looking for a database engineer to join our team full-time. The ideal candidate should have:
* A solid foundation in database systems and internals
* Meaningful experience working on databases, query engines, storage engines, indexing systems, or similarly complex infrastructure software
* Proficiency in systems programming with C/C++/Rust/Zig and the ability to navigate large, complex codebases effectively (bonus points for Rust)
* Experience designing, profiling, optimizing, and debugging systems with a focus on performance, scalability, and maintainability
* Experience with Postgres internals, database extensions, or related systems is a plus
* Familiarity with query optimization, vectorized execution, columnar storage, or analytical query processing is a plus
* Familiarity with search systems is a plus
* Familiarity with technologies such as Tantivy, Apache DataFusion, Arrow, Parquet, or `pgrx` is a plus
* Contributions to high-quality open-source projects are a plus
* Prior experience at a small, high-performing startup is a plus
We're seeking someone creative, independent, and excited by difficult technical challenges. You'll bring thoughtful opinions, learn quickly, engage directly with customers, and help us build a world-class product.
# 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 databases, query engines, search technologies, and data systems
* You’re excited about diving deep into the internals of Postgres and writing high-performance, safe Rust code
* You’re excited to build state-of-the-art search and analytical capabilities on top of Postgres
* You’re excited to learn about, draw inspiration from, and contribute to systems like Tantivy, Apache DataFusion, PostgreSQL, Parquet, and Arrow
* 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'll do
* Develop and optimize the ParadeDB PostgreSQL extension using Postgres APIs via `pgrx`
* Build features that interface with Postgres storage, indexing, query planning, query execution, and extension infrastructure
* Work with the internals of Tantivy, Apache DataFusion, and other open-source systems to implement new search and analytics capabilities
* Contribute upstream to Tantivy, DataFusion, and our other dependencies
* Design and implement efficient data structures and algorithms for search and analytical workloads
* Optimize query performance and resource utilization using profiling tools
* Contribute to the evolution of ParadeDB's search, analytics, indexing, and query processing capabilities
* Develop and maintain documentation, including API references and user guides
* Engage directly with our customers and the open-source community on GitHub and Slack
* Contribute to technical writing, product demos, and content marketing
* Help shape ParadeDB's product roadmap and technical direction
Official listing:
