Highlights
You won"t just be writing CRUD APIs - you"ll be designing autonomous investigation workflows, building correlation engines across heterogeneous spatial datasets, and creating systems that reason about real-world delivery problems. Day-to-day, you"ll design autonomous investigation workflows, write correlation logic connecting geocode quality and delivery outcomes, and ship features that directly reduce wrong deliveries.
Numbers & Facts
| Location | Austin, TX |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Join Amazon"s Last Mile Geospatial Technology team and help build the intelligence layer that powers millions of deliveries every day.
The Geospatial organization within Last Mile Technology owns the foundational location and mapping systems that Amazon Logistics depends on - from geocoding and address resolution to delivery accuracy and spatial analytics. The team is also responsible for closing the loop between delivery outcomes and geospatial data quality, driving continuous improvement across the delivery network.
We"re building an agentic system that automatically investigates delivery issues, correlates signals across geocode data, address metadata, delivery patterns and history, and produces actionable insights at scale. Think of it as an always-on geospatial analyst that can trace a wrong-to-address delivery back through layers of spatial data, identify root causes, and recommend fixes - all without human intervention.
This is a unique opportunity to work at the intersection of geospatial systems, data engineering, and agentic AI. You won"t just be writing CRUD APIs - you"ll be designing autonomous investigation workflows, building correlation engines across heterogeneous spatial datasets, and creating systems that reason about real-world delivery problems.
Key job responsibilities
- Design and build core components of the agent - investigation pipelines, signal correlation logic, and automated root-cause analysis workflows
- Work with geospatial data at scale: geocodes, address graphs, delivery traces, proof-of-delivery signals, and map layers
- Build integrations with internal geospatial platforms to power automated lookups and analysis
- Develop data pipelines that ingest, transform, and connect delivery outcome data with spatial quality metrics
- Collaborate with applied scientists and geospatial engineers to translate investigation heuristics into scalable, automated systems
- Own your services end-to-end - from design through deployment, monitoring, and operational excellence
- Define system architectures and designs, exploring technical feasibility tradeoffs, and making data-driven decisions.
- Help drive the architecture and technology choices that enable a world-class experience
A day in the life
As an SDE on GeoLoop, you"ll build Chronicles - an agentic system that automatically investigates delivery issues by reasoning across Amazon"s geospatial data. Day-to-day, you"ll design autonomous investigation workflows, write correlation logic connecting geocode quality and delivery outcomes, and ship features that directly reduce wrong deliveries. You"ll collaborate with applied scientists, geospatial engineers, and operations teams who rely on your system to surface root causes at scale. The end customer is the Amazon delivery customer - every automated investigation improves the spatial data that powers their experience. Small team, end-to-end ownership, real architectural influence.
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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