As a Network Capacity Engineer within the Amazon Sortation Center (SC) network, you will play a critical role in ensuring that our ~120 buildings meet the complex demands of Amazon’s next-day and two-day delivery promises. Our Sortation Centers (SCs) process packages from fulfillment centers and sort them by delivery zip code for last-mile delivery to our customers. The primary goal of this role is to maximize the utilization of our SCs to reduce cost to serve, while ensuring customer needs for on-time and accurate delivery are met. This requires matching diverse package types and volumes to the optimal SCs based on each facility’s layout, material handling equipment, and operational capacity.

Key responsibilities include monitoring and optimizing SC throughput across various building configurations, each with unique attributes such as equipment, yard size, dock door availability, and staging capacity. You will focus on calculating capacity based on volume demand and engineering/operational constraints, optimizing throughput-per-hour, and contributing to strategic initiatives to improve network resilience and flexibility. You will work closely with Planning, Engineering, Operations, and other cross-functional teams.

Key job responsibilities
• Capacity Planning and Optimization: Develop and implement solutions to optimize SC throughput, balancing yard and dock constraints, sorter capacity, and staging needs to meet same-day and two-day delivery objectives.
• Data-Driven Problem Solving: Use data to identify bottlenecks and potential efficiency gains within SC operations, enhancing processing speeds and accuracy while adapting to network-level changes in demand and flow patterns.
• Network Standardization Initiatives: Contribute to and lead projects focused on standardizing processes across SCs, focusing on material handling equipment, dock staging, and yard throughput to improve overall capacity and operational consistency.
• Automation Initiatives: Contribute to and lead projects focused on automating process paths in SCs such as unloading, loading, container building, and container movement in collaboration with Design Engineering.
• Cross-Functional Collaboration: Collaborate with teams in Planning, Sales, Operations, and other stakeholders to assess the impact of network changes on individual SCs and ensure seamless adjustments across the network.
• Documentation and Knowledge Sharing: Document insights, decisions, and lessons learned, fostering a culture of continuous improvement and collaborative problem-solving across the network.
• Customer-Centric Approach: Champion customer needs by working to enhance the SC network’s ability to deliver on Amazon’s promises of rapid and reliable delivery.

• Bachelor’s degree in Supply Chain, Industrial Engineering, Operations Management, Applied Mathematics, or related field
• 3-5 years of experience in operations, transportation, capacity planning, or logistics
• Strong analytical skills with experience using data to inform decision-making
• Excellent problem-solving abilities and a comfort level with navigating ambiguity
• Effective communicator with a collaborative, solution-oriented mindset

• Master’s degree in Engineering, Business, or a related field
• Experience with automated and manual material handling systems within a warehouse or fulfillment environment
• Proficiency in data visualization and analytical tools such as SQL, Tableau, or equivalent
• Demonstrated ability to lead cross-functional projects and drive change within a complex operational network

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.