What we do

ParadeDB 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 distributed systems 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 Go or Rust 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