What we do

ParadeDB is building an alternative to Elasticsearch built on Postgres. We develop Postgres extensions to enable Elastic-level full-text search and analytics in Postgres via Tantivy and Apache DataFusion.

Our mission is to free companies from Elastic's bloat and cumbersome ETL pipelines. Our customers enjoy lower downtime, lower costs, higher engineer satisfaction, and real-time consistency between their OLTP and search/OLAP stacks.

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

What we want

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

• A solid foundation in data systems/internals
• Experience working with databases (bonus points for Postgres expertise)
• Strong background in full-text search systems and/or data analytics/big query engines
• Proficiency in systems programming with C++/Rust/Zig (bonus points for Rust)
• Familiarity with Tantivy and/or Apache DataFusion 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 Postgres ecosystem, databases, search technologies, and/or data analytics
• You’re excited about diving deep into the internals of Postgres, Tantivy, DuckDB, Apache DataFusion, and more
• You believe in open-source and want to contribute to building a sustainable open-source company
• You want autonomy over your work and the opportunity to make impactful design decisions

What you've done