Related skills
bigquery aws sql grafana prometheus📋 Description
- Build and operate data pipelines ingesting occupancy, utilization, and cost data into BigQuery.
- Develop observability infra (Prometheus, Grafana) and alerts for fleet health.
- Instrument compute efficiency across training, inference, and eval workloads; build benchmarking.
- Build internal tooling for capacity planning, workload attribution, and cluster debugging.
- Operate Kubernetes-native systems at scale; deploy data collectors; manage labeling and taints.
- Normalize and reconcile data across AWS, GCP, and Azure billing exports and telemetry formats.
🎯 Requirements
- 5+ years of software engineering experience with production systems.
- Kubernetes fluency at operational depth — scheduling, taints, labels, node management.
- Data pipeline engineering: pipelines, BigQuery, schema management, streaming, SLOs.
- Observability tooling: Prometheus, PromQL, Grafana; recording rules.
- Python and SQL at production quality; BigQuery SQL.
- Familiarity with AWS, GCP, or Azure at infrastructure level; multi-cloud experience.
🎁 Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
🛃 Visa sponsorship
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