Software Engineer, Data Infrastructure (Staff)

ABOUT LIGHTFIELD

Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.

We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.

We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.

ABOUT THE ROLE

We're building the infrastructure foundation for a fast-growing AI product company serving thousands of customers:

- Our Postgres fleet serves 5B+ queries a month — roughly 2,500 QPS steady state, with sustained spikes past 25,000 QPS — and database workload more than doubled last month.

- Redis sustains ~50,000 commands per second behind a job platform that executes 10M+ background job runs a day across ~170 queues.

- We ingest tens of millions of emails and calendar events a month.

That growth creates scaling pressure across backend systems, infrastructure, and data infrastructure. We're hiring a staff-level engineer who spikes in data infrastructure but is excited to work across backend systems, infrastructure, and product-facing data problems. The work is close to the product, close to customers, and close to production.

As a Software Engineer, Data Infrastructure, you'll build the next generation of our data systems. We got remarkably far on a deliberately simple stack: Postgres as the system of record, a sharded transactional outbox for change events, Redis-buffered sync into Typesense for search, ...