About the role

Staff Platform Engineer responsible for defining and scaling data and ML platform at Mistplay. Leading teams in employing data strategies from raw ingestion to real-time model serving.

Responsibilities

Define scalable, reliable ingestion systems for batch and streaming data sources
Design the core analytical data platform
Lead the design of scalable, maintainable transformation systems
Lead the design of reusable, high-quality feature systems (feature stores)
Define scalable, reproducible training and backfill systems
Design low-latency, high-availability model serving systems
Establish standards for data quality, feature drift, and model performance monitoring
Evaluate, integrate, and streamline components of the data and ML platform
Define the architectural direction of the unified platform

10+ years building and operating production data and ML platforms
Strong proficiency in Python, Scala, or Go
Deep understanding of data platform architectures
Deep understanding of ML platform architectures
Strong experience designing and operating feature stores
Strong experience with streaming systems and batch frameworks
Experience defining SLOs, capacity planning, cost optimization, and leading incident response
Sets the technical direction for teams
Works effectively with data science, analytics, DevOps, and backend teams