Sr. Systems Dev Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team

Key job responsibilities

• Build and Own the Decision Intelligence Platform
• Design and build the end-to-end platform
• Own the system architecture that surfaces structured decisions to executives
• Implement 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

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
• 5+ years of systems development engineering, software engineering, or data engineering
• 3+ years building data pipelines, ETL systems, or analytics infrastructure (Python, SQL, Spark, or equivalent)
• 3+ years working with cloud services (AWS preferred: Lambda, DynamoDB/RDS, S3, Redshift/Athena, Step Functions, ECS)
• Experience building and operating production data platforms serving analytical outputs to executive/leadership users
• Experience with at least one web/dashboard framework (Streamlit, FastAPI, Flask, or equivalent)
• Experience designing data models for multi-level aggregation and time-series data

Preferred Qualifications

• Experience with distributed systems at scale
• Experience building decision support systems or intelligence platforms that serve executive/leadership users
• Experience integrating ML model outputs into production systems (model serving, feature stores, prediction APIs)
• Familiarity with automated report or document generation (templated briefs, PDF/HTML generation)
• Experience with data visualization libraries (Plotly, D3, Altair) or BI tools (QuickSight, Tableau)
• Experience building systems with time-series computation (rolling averages, trend detection, WoW comparison)
• Background in infrastructure operations, capacity planning, or supply chain environments
• Experience with LLM integration for text generation or summarization (prompt engineering, API integration)