Operations Reliability Engineer

Amazon is seeking an Operations Reliability Engineer to support the Amazon Logistics North America (AMZL NA) Engineering team, part of Amazon's Last Mile organization. The Last Mile team helps get customer packages from delivery stations to a customer's doorstep. This is a unique opportunity to own reliability programs and mechanisms that advance the intelligence of our last mile business. We are looking for an individual who has experience creating scalable, data-driven solutions to complex reliability and engineering problems. In this role, you will be responsible for driving proactive reliability across delivery station processes, equipment, and operations—hunting down the true causes of failures, eliminating them before they recur, and getting ahead of problems through systematic risk identification and mitigation. As a customer-obsessed leader, you will lead high-impact failure investigations, turn data into clear actions, and drive measurable improvements in uptime and performance across the network. You will design and enhance the tools, dashboards, and methodologies that enable the organization to learn from failures and prevent them at scale. Partnering with internal customers and internal/external stakeholders, you will ensure reliability improvements are executed on time and deliver lasting results. Key competencies of this position include insisting on the highest standards in root cause quality and corrective action effectiveness; analyzing and deep diving systems performance; inventing and simplifying solutions that improve equipment reliability and operational processes; and providing technical expertise to internal customers and stakeholders. Key job responsibilities Reliability Engineering & Root Cause Analysis • Lead Root Cause Analysis (RCA) for high-impact and recurring failures, driving deep-dive investigations to identify true root causes and ensure effective, lasting corrective actions • Develop, maintain, and continuously improve Failure Modes and Effects Analysis (FMEA) to proactively identify risks, prioritize mitigation, and prevent future failures • Analyze equipment and operational data to identify trends, systemic issues, and performance gaps, translating findings into actionable reliability improvements • Lead cross-functional reliability improvements by partnering with operations, engineering, maintenance, and external vendors across multiple sites and regions • Conduct technical deep dives into advanced technology applications, conveyor systems, and material handling integration to identify reliability risks and design-out failure modes • Develop innovative solutions through collaboration with vendors, suppliers, and cross-functional teams Data Analytics & Business Intelligence • Create and maintain BI dashboards, and data visualizations to ensure transparency, predictability, and data-driven prioritization with all stakeholders • Analyze High-Impact Event (HIE) data to identify patterns, measure reliability performance, and inform engineering investment decisions across the network • Design and maintain automated reporting pipelines and performance dashboards (e.g., HIE trends, failure rates, uptime) that enable leadership and cross-functional teams to make data-driven decisions • Translate complex data sets into clear, compelling narratives and recommendations for stakeholders at all levels, supporting business reviews and program prioritization A day in the life In this role, you will drive reliability excellence across the Last Mile network in close partnership with RME (Reliability & Maintenance Engineering) and Engineering teams. Your typical day involves analyzing failure trends and HIE data to identify recurring issues, systemic gaps, and opportunities to improve reliability and performance. You will review high-impact events and completed RCAs to ensure quality, consistency, and actionable outcomes. A key focus is supporting FMEA initiatives by helping RME and