Software Development Engineer II, Geospatial

Socket.dev; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon's Last Mile Geospatial Technology team is building the GeoLoop agentic system that automatically investigates delivery issues by reasoning across geospatial data. You will design autonomous investigation workflows, correlate geocode quality with delivery outcomes, and ship features that reduce wrong deliveries.

As an SDE on GeoLoop, you will own end-to-end services from design to deployment, collaborate with scientists and engineers, and influence architecture while delivering scalable

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture 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.
• Experience programming with at least one software programming language.

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

Skills

Software development

Distributed systems

OO design

C++

Java

Education

Bachelor's degree in CS/Engineering/Math

Tools

Git

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.

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.

Basic Qualifications

• 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

Preferred Qualifications

• 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

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