Sr. Systems Dev Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team
Seattle, WA - USA
Job Summary
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
- Bachelors 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 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
- 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)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 151200.00 - 204600.00 USD annually
Required Experience:
Senior IC
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