What we do

ParadeDB is a Postgres-native alternative to Elasticsearch. We are building a unified Postgres platform for transactions, text and vector search, filters, facets, and joins, so you don’t need to move your data to a separate database.

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 based in San Francisco, with some of our team working remotely across the US and Canada. 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 platform engineer to join our team full-time and help build ParadeDB Cloud.

ParadeDB Cloud is our managed database platform built on Kubernetes and CloudNativePG. We're building a cloud-native control plane and Kubernetes operators that make it easy for customers to deploy and operate ParadeDB at scale.

The ideal candidate should have:

• Meaningful experience building distributed systems, cloud platforms, Kubernetes operators/controllers, or similarly complex infrastructure software
• A solid understanding of Kubernetes internals, including reconciliation loops, controllers, CRDs, and cloud-native architecture
• Experience designing and building APIs, control planes, orchestration systems, or automation frameworks that manage stateful infrastructure
• Experience developing production software in Rust (preferred) or Go and operating reliable production systems on Kubernetes
• Familiarity with infrastructure tooling such as Terraform, Helm, and Bash/Python
• Experience with CloudNativePG, database operators, database-as-a-service platforms, or other stateful systems is a plus
• Familiarity with Elasticsearch-type workloads, analytical databases, or high-performance data systems is a plus
• Contributions to high-quality open-source projects and prior experience at a small, high-performing startup are a plus