Unknown Company

Database Engineer — Storage & Query Execution

san francisco, ca • Posted 4 days ago
Onsite Full Time General

Database EngineerParadeDB is a Postgres-native alternative to Elasticsearch. We build state-of-the-art search 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, and unify their search and 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 WantA solid foundation in database systems and internalsMeaningful experience working on databases, query engines, storage engines, indexing systems, or similarly complex infrastructure softwareProficiency 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 maintainabilityExperience with Postgres internals, database extensions, or related systems is a plusFamiliarity with query optimization, vectorized execution, columnar storage, or analytical query processing is a plusFamiliarity with search systems is a plusFamiliarity with technologies such as Tantivy, Apache DataFusion, Arrow, Parquet, or pgrx is a plusContributions to high-quality open-source projects are a plusPrior experience at a small, high-performing startup is a plusWe'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 WantTo be part of the core team of a fast-growing infrastructure startupTo wear many hats and interface directly with customersTo be passionate about databases, query engines, search technologies, and data systemsTo dive deep into the internals of Postgres and write high-performance, safe Rust codeTo build state-of-the-art search and analytical capabilities on top of PostgresTo learn about, draw inspiration from, and contribute to systems like Tantivy, Apache DataFusion, PostgreSQL, Parquet, and ArrowTo believe in open-source and want to contribute to building a sustainable open-source businessTo have autonomy over your work and the opportunity to make impactful design decisionsWhat You'll DoDevelop and optimize the ParadeDB PostgreSQL extension using Postgres APIs via pgrxBuild features that interface with Postgres storage, indexing, query planning, query execution, and extension infrastructureWork with the internals of Tantivy, Apache DataFusion, and other open-source systems to implement new search and analytics capabilitiesContribute upstream to Tantivy, DataFusion, and our other dependenciesDesign and implement efficient data structures and algorithms for search and analytical workloadsOptimize query performance and resource utilization using profiling toolsContribute to the evolution of ParadeDB's search, analytics, indexing, and query processing capabilitiesDevelop and maintain documentation, including API references and user guidesEngage directly with our customers and the open-source community on GitHub and SlackContribute to technical writing, product demos, and content marketingHelp shape ParadeDB's product roadmap and technical directionWhat's NextPlease send your resume and anything else you'd like to share to 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

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