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Senior Platform Engineer (Java & Python)

Remote Full-time Now Hiring

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

Stack you'll live in

Java 21PythonSpring Boot WebFluxFastAPIKafkaApache FlinkClickHousePostgreSQLNeo4jRedisKubernetesAWS

Not a fit if

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

5+ years deep experience in Java and Python backend systems, including platform work, distributed systems, and performance tuning.

Key Responsibilities

  • owning infrastructure
  • optimizing performance
  • ensuring reliability

Skills & Tools

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

Job Details

  • Category: Software Development
  • Seniority: Senior Level
  • Commitment: Full Time
  • Workplace: Remote — United States
  • Languages: English

About Intempt

A company processing 350M+ events per month across a unified customer data platform, analytics, and ML stack. — Industry: Information Technology