Our client is building an operations management platform that handles workforce planning, rostering, dispatching, and performance analytics for a large-scale field operations environment. You will own the Python engine layer, responsible for the algorithms and data processing that power the core operational workflows used daily by operations teams.
Requirements
- 5 or more years of Python backend or data engineering experience
- Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent)
- Strong data processing experience with large datasets (Polars, pandas, or Apache Spark)
- Experience with task queues and async processing (Celery, RQ, or equivalent)
- Familiarity with Azure
- Comfortable working with SQL databases and writing performant queries
- Experience consuming REST APIs and message queues
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