DevOps Engineer
Core
Design, build, and optimize cloud infrastructure for machine learning operations, scaling AI models from research to production for millions of players.
Role type
DevOps Engineer (ML Infrastructure)
Builds
Scalable data and feature pipelines, CI/CD pipelines for ML models, and production-ready AI systems.
Domain
Cloud Infrastructure / Machine Learning Operations / Real-money Gaming
Deliverable
production ML models
Required skills
Google Cloud Platform (GCP), Terraform, CI/CD pipeline implementation, containerization (Docker, Kubernetes), Python scripting, cloud monitoring and logging, data pipeline management (BigQuery, Dataflow, Pub/Sub)
Preferred skills
Ansible, Jenkins, Vertex AI Model Monitoring, AI orchestration frameworks (LangGraph, LangChain), experience in gaming or fraud detection systems
Technologies
GCP, Terraform, Ansible, Vertex AI, Jenkins, DataDog, BigQuery, BigTable, Dataflow, Composer, Pub/Sub, Cloud Run, Docker, Kubernetes, GKE, Python, Groovy, Shell
Responsibilities
Manage and automate cloud infrastructure; implement CI/CD pipelines for ML models; build scalable data pipelines; set up model monitoring and observability; optimize inference performance; troubleshoot production systems; ensure compliance with data governance and security standards.
Seniority
Mid-level, hands-on IC
