Sr. Platform Engineer
Core
Building data infrastructure, automation, and distributed systems to support advanced machine learning products and process massive volumes of events.
Role type
Senior Platform Engineer (Data Infrastructure & ML Support)
Builds
Scalable data pipelines, automation tools, and production systems for ML teams
Domain
Cloud Infrastructure, Data Engineering, Machine Learning Platforms
Deliverable
production ML models
Required skills
AWS, Python, Golang, Kafka, Airflow, Docker, Kubernetes, Linux, CI/CD, Distributed Systems Architecture, Big Data (Apache Spark)
Preferred skills
Relational databases, Key-value stores, AWS services (Batch, EMR, Glue, SageMaker), Open-source contributions, Cybersecurity experience
Technologies
AWS, Python, Golang, Kafka, Airflow, Docker, Kubernetes, Linux, Apache Spark
Responsibilities
Design and build scalable services and infrastructure for ML products; Develop automation tools and pipelines for model deployment and evaluation; Build and maintain production data systems for high-volume events; Implement and maintain CI/CD practices; Collaborate with Data Scientists and engineers to deliver data services; Apply distributed systems principles for large-scale solutions.
Seniority
Senior, hands-on IC
