Software Development Engineer II, Geospatial

Amazon.com, Inc.
Austin, TX, United States
14 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$143,700.0 - $194,400.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Geographic Information Systems Application Programming Interfaces (APIs) Software Applications C Sharp (Programming Language) C++ (Programming Language) Code Review Computer Programming Information Engineering Software Design Patterns Perl (Programming Language) Machine Learning
+13 more
Object-Oriented Software Development Software Engineering Spatial Data Infrastructures Alwayson Multithreading Large Language Models Build Management Information Technology Build Process Software Coding Software Version Control Data Pipelines Crud

Job 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., * 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.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor’s degree in computer science or equivalent
  • Knowledge of machine learning model architecture and inference
  • Exposure to agentic or workflow-based AI systems - chaining LLM calls, tool use, or multi-step reasoning pipelines

Benefits & conditions

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, TX, Austin - 143,700.00 - 194,400.00 USD annually

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · World Congress 2026 Europe

2:17 min

Generating modules and CRUD endpoints automatically

Maximilian Otto Maximilian Otto · World Congress 2024

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

56 sec

The hidden costs of delayed peer code reviews

Tim Gilboy Tim Gilboy

1:59 min

Identifying repetitive boilerplate code in basic CRUD applications

Noam Honig · LIVE

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

Videos

See all

Related articles

See all