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In this role, you will own the strategic design and continuous optimization of Amazon's hub network, driving connectivity improvements that deliver speed and cost efficiency year-round—not just during peak events. You'll operate at the intersection of network architecture and execution, partnering with Operations, Supply Chain Planning, Data Science, Product, and Finance to reimagine how middle mile flows connect origins to destinations through our hub infrastructure. Leveraging advanced analytics and large-scale modeling, you will identify structural opportunities to improve hub utilization, redesign lane connectivity, and implement scalable automation that strengthens network resilience across all demand cycles. Whether you're architecting capacity strategies for evolving topology, leading cross-functional programs to unlock improvements, or building the frameworks that govern year-round network design, your work will directly shape how millions of packages move—and how quickly customers receive them. This is a high-visibility, high-autonomy role where your decisions influence network design at network-wide scale impacting millions of packages weekly. Key job responsibilities - Drive the evolution of the middle mile network strategy by continuously evaluating emerging demand patterns, node launches, and program expansions to inform where and how connectivity should scale. - Establish and maintain design principles that guide decision-making when competing priorities arise, codifying how the network balances speed, cost, and resilience in practice. - Simulate and validate proposed network configurations against real-world variability, ensuring design choices are timed well to support peak and non-peak periods - Build and maintain visibility mechanisms that surface network performance insights to leadership, enabling data-driven prioritization and rapid course correction on a recurring cadence. - Own the operational response framework for network disruptions, proactively identifying vulnerability points and deploying contingency routing to preserve customer promise during degraded conditions. - Partner across organizations to build consensus on capital allocation, capacity planning, and design trade-offs that require multi-team commitment and shared accountability. - Ideate and sequence initiatives that simplify middle mile complexity, reducing unnecessary handoffs while improving sortation efficiency About the team The Network Design, Planning and Engineering (NDPE) team supports the connectivity and flow of Amazon's transportation network through data-driven insights. We are a collaborative group of supply chain managers, data scientists and data engineers who value curiosity, knowledge sharing, and building reliable, scalable solutions. Our work directly impacts how millions of packages move through Amazon's outbound network every day. We foster a learning-focused environment where team members grow through mentorship, technical reviews, and exposure to complex, large-scale data challenges.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.