Senior Platform Engineer (Java) - Data Infrastructure

## About the role Intempt is an autonomous growth platform for online companies. It operates at billion-scale event volumes, powers real-time personalization and journeys, and embeds decisioning models directly into marketing, sales, design, analytics workflows. We process 350M+ events/month across a unified Customer Data Platform (CDP), analytics, and ML stack. The core works. We need someone to make it bulletproof at scale. ## Responsibilities - High-throughput event ingestion and stream processing (Kafka, Flink) - Low-latency query paths across ClickHouse, Postgres, and Neo4j - JVM performance — GC tuning, heap profiling, hot path optimization - Infrastructure stability under real load — not theoretical load ## Requirements - 5+ years deep in Java backend systems — not just Spring CRUD, actual platform work - Someone who has personally tuned a pipeline processing millions of events per hour - Comfortable with distributed systems failure modes — partitions, back-pressure, replication lag - The person who finds the bottleneck before the pager does ## Stack you'll live in - Java 21 - Spring Boot WebFlux - Kafka - Apache Flink - ClickHouse - Postgres - Neo4J - Redis - Kubernetes - AWS ## Not a fit if - You need clean requirements to get started - You think "it works on small scale prod" and closes a ticket ## What we offer - Competitive compensation - Ownership of real problems at web scale - No bureaucracy