The System Development Engineer will design, build, and own the executive decision intelligence platform for Amazon's global data center fleet. This role focuses on creating a system that synthesizes operational data into structured executive decisions. The engineer will work on building the platform infrastructure, including data pipelines and decision-framing logic. The position requires a strong emphasis on building reliable and scalable production systems that deliver timely decisions to senior leaders.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of systems development engineering, software engineering, or data engineering experience.
• 3+ years of experience building data pipelines, ETL systems, or analytics infrastructure using Python, SQL, Spark, or equivalent.
• 3+ years of experience working with cloud services, preferably AWS.
• Experience building and operating production data platforms that serve analytical outputs.
• Experience with at least one web/dashboard framework such as Streamlit, FastAPI, or Flask.
• Experience designing data models for multi-level aggregation and time-series data.
• Experience with distributed systems at scale.
• Experience building decision support systems or intelligence platforms for executive users.
• Experience integrating ML model outputs into production systems.
• Familiarity with automated report or document generation.
• Experience with data visualization libraries or BI tools.
• Experience building systems with time-series computation.
• Background in infrastructure operations, capacity planning, or supply chain environments.
• Experience with LLM integration for text generation or summarization.

• Design and build the end-to-end decision intelligence 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.
• Ingest and normalize data from multiple upstream operational systems.
• Build robust ETL pipelines with defined freshness SLAs and data quality checks.
• Implement caching, pre-computation, and materialized views for executive dashboard response times.
• Integrate outputs from science teams into the platform as first-class data sources.
• Build the serving layer that presents analytical outputs alongside operational metrics.
• Implement automated narrative generation for executive reviews.
• Design APIs that support both the web portal and automated report generation.
• Build interactive executive dashboards with fleet-wide views and multi-level drill-down.
• Implement data visualizations optimized for non-technical senior leaders.
• Design the portal to support multiple view modes.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.