Backend Engineer - Ingestion

We're seeking an ingestion pipeline engineer who: Thrives on challenges of building systems that process billions of events per day Gets excited about designing elegant and efficient systems that can handle terabytes of data without giving people insomnia Understands the importance of data integrity and reliability for customers The ideal candidate has experience with high-throughput data processing systems such as: Analytics platforms Metric collection systems Log aggregation engines Streaming and batch-processing pipelines We use a mixture of Node.JS and Rust for high-throughput processing. We store most of our data in Kafka, PostgreSQL, Clickhouse, S3, and Redis, but with the growing volume of data, we're constantly re-evaluating our technological choices. We're looking for someone who understands the principles of designing distributed systems and can use them to pick the best tools for the job.

We're equipping every developer to build successful products by giving them a suite of products to analyze, test, observe, and deploy new features. We currently offer product and web analytics, session replay, feature flags, experiments, a CDP, SQL access, a data warehouse, and LLM observability… and there's plenty more to come. PostHog was created as an open-source project during Y Combinator's W20 cohort. We had the most successful B2B software launch on HackerNews since 2012 with a product that was just 4 weeks old. Since then, more than 100,000 companies have installed the platform. We've had huge success with our paid upgrades, raised bags of money from some of the world's top investors, and have extremely strong product-led growth – 97% driven by word of mouth. We're growing quickly, but sustainably. We're also default alive, averaging 10% monthly revenue growth and with more than $20m ARR. We're staying focused on building an awesome product for end users, hiring a handful of exceptional team members, and seeing fantastic growth as a result.