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Senior Backend Engineer
Pyyne
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- $180,000 to $195,000 USD / year
…sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI…
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Staff Hardware Engineer
Nokia
United States
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Added 3 mins ago
Senior Engineer, Field Services
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Remote, United States
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DevOps Technical Engineer
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Controls Engineer
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…manufacturing quality custom products through innovative baking solutions. Products include the famous twist tie machine, seeders, pan oilers, and pan…
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Senior Supplier Technical Engineer
United States
As the Supplier Technical Engineer (STE) at this facility, you would:
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United States
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United States
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Automation Test Engineer - 6568322
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…organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture…
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Software Sales Associate Director - Procurement Software/Tech
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Senior Test Infrastructure Engineer
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Senior Software Engineer, Firmware
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Senior Operations Process Engineer
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Closed listing

Amazon

Operations Reliability Engineer

Irving, TX, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 3+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
Posting language: English
Posted: Oct 19, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

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 Engineering partners proactively identify risks and implement effective mitigation strategies.

You will partner closely with RME teams and Engineering stakeholders to refine and improve tools, processes, and systems that support RCA and FMEA at scale. You'll facilitate planning and implementation meetings with RME leadership, Engineering program managers, and cross-functional partners to ensure alignment on objectives, expectations, and next steps - capturing and distributing comprehensive notes that drive accountability and follow-through on actions and decisions. You will collaborate with RME technicians, engineers, and regional stakeholders to align corrective actions, close the loop on reliability improvements, and strengthen how the organization learns from and prevents failures.

You will also develop and enhance BI tools, automated reporting, and dashboards that surface reliability insights to RME and Engineering leaders.

About the team

At Amazon, we embody a culture of ownership, embracing unique opportunities that span from firm engineering to project execution and final customer hand-off. Our diverse, upbeat, and innovative team of engineers and program managers works tirelessly to ensure our internal customers have the capabilities to deliver on the Customer Promise. We don't just build; we consistently enhance our systems and capabilities through continuous improvement, striving for both incremental and breakthrough developments. This commitment to excellence means we're constantly raising the quality bar and are never truly satisfied. We capture lessons learned and incorporate them back into our mechanisms, perpetually improving our designs and processes with each iteration. Our approach to growth is holistic - we continually learn, develop, and expand our expertise throughout the organization, leveraging our subject matter knowledge on a global scale. Collaboration is at the heart of our ethos; we are a true team that supports, helps, and leverages each other's strengths to deliver on our business objectives.

Basic Qualifications

Bachelor's degree in industrial or manufacturing engineering
3+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
Experience in material handling equipment (MHE) or automation environments, or experience in reliability/maintenance environments
Knowledge of Microsoft Excel (macros, pivots, lookups) at an advanced level
Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
Experience using data analysis to drive business decisions

Preferred Qualifications

Knowledge of performance metrics such as OEE (Overall Equipment Effectiveness), downtime, throughput, or quality
Experience with Six Sigma, lean manufacturing
Master's degree or above in engineering, mechanical, operations, supply chain, business administration, or equivalent STEM field
Experience with performance metrics such as OEE (Overall Equipment Effectiveness), downtime, throughput, or quality
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually

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More about this job

Skills

Root cause analysis
Material handling
Prioritization
Reporting
Leadership
Process improvement
Microsoft Excel
Data visualization
Tableau
Microsoft Power BI
Data analysis
Lean manufacturing
Supply chain management
Recruitment
Mental health

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