Data & ML Platform Engineer (Hybrid)
Core
Build and operate the data and ML platform that powers AI features, managing data ingestion, serving layers, and model deployment for a scheduling and HR app.
Role type
Senior IC Data & ML Platform Engineer
Builds
Data ingestion pipelines, real-time inference serving layers, feature stores, and ML model deployment infrastructure
Domain
SaaS / HR & Scheduling / Data Engineering & MLOps
Deliverable
production ML models
Required skills
Distributed streaming systems (Kafka, CDC), Spark, Delta, Python, SQL, Container infrastructure (Docker, ECS, Kubernetes), Infrastructure-as-code (Terraform), Data modeling
Preferred skills
Unity Catalog governance, MLflow, Feature stores, LLM-serving, Protobuf event contracts, Postgres internals
Responsibilities
Build and run CDC and streaming pipelines; Manage Databricks, Unity Catalog, and warehouses; Ship gRPC services for real-time inference; Evolve feature store and MLflow practice; Partner with data science to move PoCs to production; Share on-call rotation
Seniority
Senior, hands-on IC
