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.

Core Platform. Remote. Full-time. 5+ years. Hiring now.

About the role

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.

What you'll own

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
Python data pipelines - ML serving, embedding jobs, batch processing
System reliability, observability, and incident response

You are

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

Tech stack

Java 21
Python
Spring Boot WebFlux
FastAPI
Kafka
Apache Flink
ClickHouse
PostgreSQL
Neo4j
Redis
Kubernetes
AWS

Not a fit if

You need clean requirements to get started
You think "it works at small scale" closes a ticket

To apply, email us your resume.