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AI Real-Time Event Deduplication Engineer

Benjamin Leclerc

Contract · Job · Los_Angeles

About the role

Kafka, Spark, and Kubernetes are what we build on every day. If duplicate event storms in a distributed system sound like a fun problem, keep reading. You'll design deduplication logic that runs inline in our streaming layer, catching duplicate events from retries and network partitions before they corrupt downstream aggregates. Fast-moving team. Big problem. We need a contractor who can ship a working prototype in the first month and iterate from there.

Responsibilities

  • Design inline deduplication logic for the streaming layer
  • Reduce duplicate event rates in downstream aggregates
  • Instrument deduplication metrics for observability dashboards

Requirements

  • 5+ years with distributed streaming systems
  • Deep experience with kafka and spark
  • Comfortable working independently on a contract basis

Benefits

  • Fully remote contract engagement
  • Flexible hours
  • Opportunity to convert to full-time

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Categories

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python kafka spark docker kubernetes

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Job Type

Contract

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python kafka spark docker kubernetes

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