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

Amazon; Seattle (WA); On-site; USD 151,200 - 204,600; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a System Development Engineer to design and build a decision intelligence platform. This role involves creating data pipelines and a system that synthesizes operational data into actionable executive decisions.

The ideal candidate will have experience with data infrastructures, cloud services, and building production systems that deliver decisions efficiently. A Bachelor's degree in a related field and 5+ years of engineering experience are required.

The role is based in Seattle, WA, and competitive salary and benefits will be provided.

Qualifications

• 5+ years of experience in systems development engineering, software engineering, or data engineering.
• 3+ years building data pipelines, ETL systems, or analytics infrastructure.
• Experience with cloud services and production data platforms.

Responsibilities

• Design and build the end-to-end decision intelligence platform.
• Integrate data from various operational systems into the platform.
• Build interactive executive dashboards and metrics.

Skills

Systems development engineering

Data pipeline development

ETL systems

Cloud services (AWS)

APIs and web frameworks

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Python

SQL

Spark

Job description

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

• 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 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)

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 - 151,200.00 - 204,600.00 USD annually