Cloud Engineer* Data & AI
Core
Designing and implementing modern Data and AI infrastructures, orchestrating GPU clusters, and automating pipelines for efficient model training and stable inference operations.
Role type
Senior Cloud Engineer (Data & AI Infrastructure)
Builds
Scalable data platforms, GPU-orchestrated training clusters, and production-ready ML inference interfaces.
Domain
Cloud Infrastructure, Data Engineering, Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Kubernetes production operations, Infrastructure-as-Code, Cloud provider expertise (AWS/Azure/GCP), Workflow orchestration, GPU scheduling, Data platform architecture, Network security hardening, Lakehouse formats, Streaming technologies, Model serving
Preferred skills
Mentoring junior engineers, AI tool usage for automation, Cross-functional communication
Technologies
Kubernetes, Terraform, ArgoCD, Helm, Cilium, Kyverno, Airflow, Spark, Kafka, Ray, Kueue, Databricks, Snowflake, dbt, Iceberg, S3, PostgreSQL, pgvector, MLflow, vLLM, KServe, Prometheus, Grafana, OpenTelemetry, Python, Go
Responsibilities
Orchestrate GPU clusters for model training, design storage architectures for diverse workloads, integrate orchestration and streaming components, implement security and governance for sensitive data products, monitor systems and handle incidents, plan GPU capacity
Seniority
Senior, hands-on IC
