Sr. Systems Dev Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team
This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
- Design and build the end-to-end platform
- Own the system architecture that surfaces structured decisions to executives
- Build metric decomposition pipelines
- Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
- Ingest and normalize data from multiple upstream operational systems
- Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
- Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
- Integrate outputs from science teams into the platform as first-class data sources
- Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
- Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
- Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
- Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
- Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
- Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads