Develop production AI and data solutions remotely for Kinaxis, using pipelines, up-to-date platforms, and robust debugging instincts across North America.
Kinaxis is seeking a Forward Deployed Engineer for its customer-focused deployment unit. You will build solutions on the Maestro Platform and improve reusable capabilities. The work spans ingestion, transformation, serving, monitoring, backend services, and production troubleshooting.
Key Responsibilities:
Build and maintain customer solutions end-to-end
Run multiple workstreams based on customer priorities
Partner with Product and Engineering on platform improvements
Measure outcomes through efficiency and exception reduction
Unblock yourself and deliver without close supervision
Requirements:
Build pipelines with Airflow, Kafka, dbt, or equivalents
Familiarity with Snowflake, Databricks, BigQuery, or similar
Understanding of data modeling and performance fundamentals
Solid debugging skills with imperfect production data
Two to five years in software or data engineering
Combine data engineering, agentic applications, and pragmatic customer delivery to create scalable Kinaxis capabilities for supply chain operations.