Systems Dev Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team, Amazon Global Data Center Ops Central Insight and Analytics Team
Amazon Seattle, Washington, United States · $129K–$175K/yr
Software Development · 10,001+ employees
About the role
Design and build an end-to-end executive decision intelligence platform that synthesizes operational data into actionable insights for senior leadership. Manage the full system architecture, including data pipelines, aggregation engines, and visualization layers to ensure reliable production delivery.
What they look for
Requirements
Requires experience in automating, deploying, and supporting large-scale infrastructure with proficiency in at least one modern programming language. Candidates must have a strong background in Linux/Unix environments and CI/CD pipeline processes.
Benefits
Full description
We are looking for a System Development Engineer to design, build, and own the executive decision intelligence platform that serves senior leaders (VPs, Directors) across Amazon's global data center fleet. This is not an analytics dashboard — it's a system that synthesizes operational data into decisions that need to be made**, complete with context, projected outcomes, and recommended actions.
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
Basic Qualifications: - Experience in automating, deploying, and supporting large-scale infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix - Experience with CI/CD pipelines build processes
Preferred Qualifications: - Experience with distributed systems at scale
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually
