Senior Platform Engineer; Java & Python

Intempt processes 350M+ events/month across a unified Customer Data Platform, analytics, and ML stack. Make it bulletproof at scale.

Intempt processes 350M+ events/month across a unified Customer Data Platform, analytics, and ML stack. The core works. We need someone to make it bulletproof at scale.

You'll own the infrastructure that powers real-time personalization, journeys, and decisioning models. Java for the platform services, Python for the ML and data pipelines. This is platform engineering - not application development.

• High-throughput event ingestion and stream processing (Kafka, Flink)
• Low-latency query paths across Click House, Postgres, and Neo4j
• JVM performance - GC tuning, heap profiling, hot path optimization
• Infrastructure stability under real load - not theoretical load
• Python data pipelines - ML serving, embedding jobs, batch processing
• System reliability, observability, and incident response
• 5+ years deep in Java and Python 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
• You need clean requirements to get started
• You think "it works at small scale" closes a ticket