Staff Data Engineer

People In AI is a high-growth AI platform company seeking a Staff Data Engineer to scale the infrastructure for its AI-driven products. The role involves optimizing data pipelines, improving platform reliability, and building backend services while collaborating with product and engineering teams.

Responsibilities:

• Scale and optimize distributed data pipelines and streaming systems
• Improve platform reliability, observability, and infrastructure performance
• Build backend services and APIs in Python and/or Java
• Work across Spark, Kafka, Kubernetes, Airflow, and AWS infrastructure
• Drive technical direction while remaining hands-on in implementation
• Partner cross-functionally with product and engineering teams
• Contribute to AI-powered operational tooling and automation systems

Requirements:

• Staff-level experience building large-scale data platforms or distributed systems
• Strong Spark/Flink and Kafka expertise
• Experience with Python or Java microservices
• Cloud and Kubernetes infrastructure knowledge
• Strong systems design and distributed systems fundamentals
• Experience working with complex, evolving third-party data
• Interest in AI systems, automation, and intelligent workflows