The role
From Amazon's own posting.
The most exciting part of this role is the frontier we are working on: automating operational decision-making with agentic AI. Rather than asking human operators to watch dashboards, interpret signals, and hand-craft responses to every disruption, we are designing intelligent agents that detect anomalies, reason about their cause and impact, and resolve them end to end, proposing and executing the right recovery action with minimal human involvement. You will help turn that vision into production software. You will build the pipelines that feed these agents clean, trustworthy signals, the execution layer that lets them act safely on live operations, and the evaluation harnesses that prove they make good decisions before they touch the real network. Alongside this, you will work on the large-scale optimization and planning systems that decide how capacity is allocated in the first place, where small improvements translate into meaningful cost and reliability gains across the network.
Every day, a vast network of trucks moves goods between warehouses, sorting hubs, and delivery stations around the world. Behind that network sits one of the richest optimization problems in modern logistics: how do you schedule finite transportation capacity against constantly shifting demand, and then keep that plan intact when reality refuses to cooperate? Weather, breakdowns, late arrivals, and capacity shortfalls disrupt the plan continuously, and today much of the response still depends on people manually detecting problems and deciding what to do. We are building the systems that change that, and we are looking for a software engineer to help us build them.
Key job responsibilities
- You will own the design and delivery of systems that matter.
- You will take ambiguous requirements, shape them into clean designs, write high-quality and maintainable code, and see your work through to production, operating what you build and being accountable for its reliability.
- You will make pragmatic engineering trade-offs, raise the bar in code and design reviews, and mentor other engineers, helping them grow while keeping the team's technical standards high.
- This is a role for someone who wants real ownership in a space where the problems are genuinely hard and the impact is immediate.
About the team
Amazon's Middle Mile Transportation Technology team is chartered with building complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers.
- Experience (non-internship) in professional software development
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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