Data Infrastructure Engineer

zaimler is building a semantic platform to link enterprise data and generate knowledge using AI. They are seeking a Data Infrastructure Engineer to design, build, and scale systems for high-throughput data ingestion, transformation, and real-time processing, playing a crucial role in the company's AI infrastructure platform. The role offers a chance to influence product direction and collaborate with diverse teams.

Requirements

• Deep experience with distributed data systems (Spark, Kafka, Flink, Ray).
• Strong programming skills (Python, Scala, or Java).
• Comfort with Kubernetes and cloud environments (AWS/GCP/Azure).
• Solid understanding of streaming vs. batch tradeoffs, state management, and scaling patterns.
• Ability to collaborate across data, infra, and ML teams.

Benefits

• Competitive salary
• Medical, Dental, Vision
• 401k
• Onsite culture