At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, innovative, and driven leaders. If you would like to help us build the place to find and buy anything online, this is your chance to make history and be involved in growing our business by leading and supporting new building expansion and change. The Rapid Asset Deployment (RAD) organization within Tech – Supply Chain is growing globally to improve our responsiveness to our customers.

Tech – Supply Chain manages all IT infrastructure and end-user equipment deployed across Amazon's network globally. The team is responsible for providing end-to-end solutions that include lifecycle management, change control, capital/demand planning, material management, Return Merchandise Authorization (RMA), and liquidation. Our initiatives deliver on the solutions that power the physical fulfillment of our customers' orders, including management of new site launches across the globe that directly support shipping packages to millions of Amazon.com customers. RAD is the physical warehouse network that fulfill these orders, handling the hands-on preparation, deployment, and recovery of IT equipment at scale.

The Process Engineering team converts network strategies and operational standards into executable engineering solutions that power device fulfillment, value-added services, and reverse logistics across the RAD network. The team's work directly influences more than 300 Tier 1 associates and generates over $2M in recurring annual savings through workflow optimization, throughput improvements, and defect prevention. Process Engineers designs and continuously improves the physical workflows and engineering systems that support fulfillment operations. By optimizing layouts, engineering scalable workstations, and validating system interactions between tools, labour, and infrastructure, the team ensures RAD can expand fulfillment capacity while maintaining safety, operational efficiency, and service reliability.

Key job responsibilities

• Analyze and evaluate existing fulfillment workflows across device fulfillment, value-added services, and reverse logistics, identifying opportunities for optimization and cost-per-unit reduction.
• Utilize lean manufacturing principles, Six Sigma methodologies, value stream mapping, and simulation-based capacity analysis to drive operational excellence and reduce costs.
• Conduct time-motion studies, workflow analysis, line balancing, productivity modeling, and process mapping to identify throughput constraints and inefficiencies.
• Develop and implement standard operating procedures (SOPs) and engineering standards to ensure consistent and efficient operations across the RAD network.
• Support the engineering execution of RAD expansion and new facility launches, including feasibility studies, labour and capacity models, workflow design, and ergonomic validation.
• Contribute to site design and material flow strategies that enable RAD to grow with predictable throughput and controlled operational risk.
• Support ERP/WMS implementation efforts and help validate system and process designs, including system interactions between tools, labour, and infrastructure.
• Integrate quality engineering principles directly into workflow design, using tools such as FMEA, control plans, and Cost of Poor Quality (COPQ) analysis to strengthen process reliability.
• Conduct process and product quality audits to identify gaps and drive continuous improvement opportunities.
• Drive proactive risk identification, root cause analysis, and implementation of engineering controls to prevent recurrence of systemic failure points.
• Support the establishment and maturation of a Quality Management System (QMS) for Amazon-RAD to improve quality outcomes and meet customer needs.

A day in the life
We are looking for a Process Engineer based in the UK who can collaborate across multiple functional and operational teams to establish and improve our engineering processes. This role will design factory layouts, scalable workstations, and material flow systems; diagnose process constraints; identify improvement opportunities; prescribe engineering solutions; and guide improvement efforts from concept through execution.