Cloud Engineer* Data & AI
Core
Implement modern Data and AI infrastructures, orchestrate GPU clusters, and automate pipelines for efficient model training and stable inference operations.
Role type
Senior Cloud Engineer (Data & AI Infrastructure)
Builds
Data platforms, GPU clusters, and automated ML workflows
Domain
Cloud Infrastructure, Data Engineering, Machine Learning
Deliverable
production ML models
Required skills
Kubernetes, Infrastructure-as-Code, Cloud Providers (AWS/Azure/GCP), Workflow Orchestration, GPU Scheduling, Security Best Practices, Data Governance
Preferred skills
Lakehouse platforms, Model Serving, Network Hardening, AI Tools usage
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, design data platform storage architectures, integrate orchestration and streaming components, implement Infrastructure-as-Code and GitOps, handle monitoring and incident response, plan GPU capacity
Seniority
Senior, hands-on IC