Translucent is building AI-powered infrastructure for accounting firms. We aggregate transaction-level data from Xero and QuickBooks, then turn it into dashboards, workflows, and tools that accountants actually use daily.

We're a small team (9 people), venture-backed, moving fast. Our backend processes financial data for thousands of companies. We need someone who can own systems, not just tickets.

We've just come through an intense period of R&D, which includes redesigning and rebuilding our product from the ground up. If you thrive in that kind of environment - shipping fast, minimal process, smart people - and want to be part of what comes next, let's talk.

If you need clear requirements and dedicated QA to feel comfortable, this probably isn't the right fit.

What you'll work on:

• Data ingestion pipelines (Kafka) transforming raw accounting data into queryable formats

• API design and performance for internal services and external integrations

• PostgreSQL and ClickHouse: schema design, query optimization, scaling

• Infrastructure for AI workflows: RAG pipelines, embeddings, schema validation

• Our stack: Kotlin (JVM), PostgreSQL, ClickHouse, Kafka, Docker, AWS

What we're looking for:

• Strong Java or Kotlin experience (5+ years backend)

• Deep PostgreSQL knowledge (not just "I've used it")

• Experience with streaming/event-driven systems

• Someone who ships first and refactors later when the building is on fire

• Comfort with ambiguity. We don't have a PM writing specs for you.