As the Capacity Engineering lead for the North American (NA) Sortation Center (SC) network, you will play a critical role in ensuring that our growing network of facilities meets the complex demands of Amazon’s delivery promises and cost-to-serve goals. Our Sortation Centers 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 mechanical capacity and utilization of the equipment and infrastructure, while ensuring customer needs for on-time and accurate delivery. This requires matching diverse package types and volume types to the optimal SCs based on each facility’s layout, material handling equipment, and processing capabilities. This role provides key mechanical capacity inputs into volume and capacity planning for the network.
Key responsibilities include modeling, calculating, and optimizing various mechanical and processing capacities 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 physical attribute constraints, optimizing throughput-per-hour, and contributing to strategic initiatives to improve network resilience and flexibility. You will work closely with various Planning, Engineering, Operations, and cross-functional teams.
Key job responsibilities
Strategic Planning & Capacity Management:
- Drive strategic capacity planning for OP1/OP2, incorporating new launches, expansions, and retrofits while providing critical inputs to Long Term Planning (LTP) for comprehensive network build plans
- Partner with Mid Term Planning (MTP) to optimize network capacity for peak operations, incorporating engineering projects and retrofits
- Lead capacity calculations and alignments for automation initiatives, ensuring accurate planning and maximum network utilization
Operational Excellence:
- Spearhead supply chain optimization initiatives, focusing on throughput enhancement and constraint management across yard, dock, and sorting operations
- Develop data-driven solutions to identify and resolve operational bottlenecks, improving processing efficiency and adapting to dynamic demand patterns
- Drive standardization projects across fulfillment centers, emphasizing material handling equipment, dock operations, and yard management
- Collaborate with Design Engineering to implement automated process paths for unloading, loading, and container management
Cross-Functional Leadership:
- Orchestrate partnerships across Planning, Engineering, and Operations teams to evaluate and implement site-specific and network-wide improvements
- Champion best practice sharing across Capacity Engineering functions, fostering a culture of continuous improvement
- Translate operational requirements into actionable engineering solutions, maximizing infrastructure utilization
- Provide mentorship and technical leadership to develop high-performing team members
Analytics & Risk Management:
- Lead complex analytical workstreams including scenario planning, construction analysis, and capacity planning
- Identify and mitigate supply chain risks through collaborative contingency planning
- Maintain exceptional quality standards across multiple deliverables while meeting stakeholder requirements
About the team
The Capacity Engineering team, a critical component of the North American Sort Center (NASC) Engineering organization, drives infrastructure optimization and network capacity maximization across our sort center operations. Our diverse team of supply chain managers and operations engineers leverages innovative engineering solutions and strategic planning to:
- Optimize network capacity through strategic build plan launches and engineering retrofits
- Design and implement innovative infrastructure solutions
- Drive operational excellence and asset utilization
- Enhance lifecycle cost management of mission-critical assets
We are at the forefront of transforming sort center operations through data-driven decision making, advanced automation initiatives, and strategic capacity planning, ensuring our network meets the evolving demands of our rapidly growing business.- Master's degree in Engineering (Mechanical, Industrial, Supply Chain, Design) or Bachelors degree with relevant experience.
- 8+ years experience in related field, or 5+ years Amazon experience in similar space.
- 5+ years of large scale project management experience, with a focus on continuous improvement, lean principles and process standardization.
- Experience with mathematical process modeling. Quantitative and qualitative analytical skills
- Experience with data analysis including use of Excel, SQL, Python.
- Experience with dealing with complex large data sets and creating pivot tables, developing dashboards in QuickSight, Tableau or similar products.
- Experience with material handling systems design and throughput models
- Experience with Sort Center operations or equivalent capacity modeling and validation
- Advanced data analysis skills
- Knowledge of AutoCAD, VBA, and SQL at the intermediate level
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $141,400/year in our lowest geographic market up to $233,800/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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
