📍 Job Overview

Job Title: Amazon Technologies Systems Engineer, Reliability and Automation Engineering Team (RAE)
Company: Amazon
Location: San Fernando de Henares, Madrid, Spain
Job Type: On-site
Category: DevOps Engineer
Date Posted: 2025-06-19
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (with up to 50% travel)

🚀 Role Summary

Drive world-class maintenance, repair, and supportability solutions for Amazon's Mechatronics and Sustainable Packaging systems within Fulfillment Centers.
Analyze large-scale data to identify improvement opportunities and lead cross-functional teams in enhancing system reliability and performance.
Apply expertise in robotics, mechatronics, reliability engineering, and system lifecycle management to build scalable solutions.
Collaborate with internal customers, partners, and teams to understand business requirements, drive problems to root cause, and manage implementation programs for corrective actions.

📝 Enhancement Note: This role requires a strong background in reliability engineering, robotics, and mechatronics, as well as experience in data analysis and process improvement. Familiarity with Amazon's Fulfillment Center operations and automation systems is a plus.

💻 Primary Responsibilities

Utilize data analytics, root cause analysis, design of experiments, and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems.
Develop and deliver impactful data-driven analyses to justify the need for change and recommendations.
Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA) to reduce downtime, eliminate errors and defects, and optimize overall equipment performance.
Engage cross-functional teams to deliver structured problem-solving and provide guidance to maintenance teams and field technicians on equipment maintenance and complex issue troubleshooting and resolution.
Design, pilot, and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability trends across assets.
Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends, and analysis around equipment uptime, failures, SLA performance, and other key metrics.

📝 Enhancement Note: This role requires strong analytical skills, attention to detail, and the ability to work collaboratively with cross-functional teams to drive continuous improvement and optimize system performance.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Engineering, Computer Science, or a related technical discipline.

Experience: Experience in reliability engineering, manufacturing engineering, lifecycle engineering, or a related role, with demonstrated specialization in robotics and mechatronics.

Required Skills:

Lean Six Sigma experience, with demonstrated success leading Kaizen events.
Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization, and statistical analysis.
Proficiency in robotics system components/controls, HMI components, control network components, motion control, and standard electrical components.
Ability to interpret, modify, and develop drawings both mechanical and electrical.
Ability to identify, maintain, and utilize SCADA systems and KPI's.
Understand and critically evaluate technical systems end-to-end for strengths, weaknesses, impacts, and improvements.
Robust troubleshooting and data analytical skills.
Ability to influence others in a technical role and interact with all levels of management.

Preferred Skills:

Experience in Robotics and Mechatronics maintenance.
Technical understanding of 480V 3-phase, 110 VAC, and 24VDC systems.
Ability to identify, maintain, and utilize SCADA systems and KPI's.

📝 Enhancement Note: Given the complex nature of this role, candidates should have a strong technical background in robotics, mechatronics, and data analysis, as well as proven experience in process improvement and reliability engineering.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in robotics, mechatronics, and reliability engineering through relevant projects and case studies.
Showcase data analysis skills by including examples of data-driven decision-making, root cause analysis, and process improvement.
Highlight experience with SQL, Python, or R, and present examples of automated reporting and data visualization.
Include examples of collaborative problem-solving and cross-functional teamwork, particularly in driving process improvement and system optimization.

Technical Documentation:

Document the technical aspects of your projects, including system architecture, data analysis methods, and process improvement strategies.
Include any relevant code snippets, data visualizations, or reports that demonstrate your technical skills and problem-solving abilities.
Provide clear and concise explanations of your approach to troubleshooting and system optimization, highlighting any significant challenges and how you overcame them.

📝 Enhancement Note: Given the technical nature of this role, candidates should focus on presenting a well-structured, data-driven portfolio that demonstrates their ability to analyze complex systems, drive process improvement, and optimize performance.

💵 Compensation & Benefits

Salary Range: €45,000 - €60,000 per year (based on market research for mid-senior level DevOps roles in Madrid, Spain)

Benefits:

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Working Hours: Full-time (40 hours per week), with up to 50% travel required.

📝 Enhancement Note: The provided salary range is an estimate based on market research for mid-senior level DevOps roles in Madrid, Spain. Actual salary may vary depending on factors such as experience, qualifications, and company-specific compensation structures.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce and Retail

Company Size: Large (over 1,000 employees)

Founded: 1994

Team Structure:

The Reliability and Automation Engineering (RAE) team is responsible for maintaining and improving the reliability and performance of Amazon's automation systems within Fulfillment Centers.
The team consists of Systems Engineers, Maintenance Technicians, and Product Owners, working collaboratively to drive continuous improvement and optimize system performance.
The RAE team works closely with cross-functional teams, including Operations, Engineering, and Facilities, to ensure that automation systems meet business requirements and support Amazon's overall operations.

Development Methodology:

The RAE team follows Agile methodologies, with a focus on continuous improvement, data-driven decision-making, and cross-functional collaboration.
The team uses tools such as JIRA, Confluence, and Quicksight to manage projects, document processes, and analyze data.
The RAE team emphasizes a culture of experimentation, learning, and innovation, encouraging team members to suggest and implement improvements to drive better results.

Company Website: https://www.amazon.com/

📝 Enhancement Note: Amazon's company culture is characterized by its focus on customer obsession, innovation, and continuous improvement. The RAE team plays a critical role in supporting Amazon's operations by maintaining and enhancing the reliability and performance of its automation systems.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level Systems Engineer (RAE) - responsible for driving continuous improvement and optimization of Amazon's automation systems within Fulfillment Centers.

Reporting Structure: The Systems Engineer (RAE) reports directly to the RAE Team Lead and works closely with cross-functional teams, including Maintenance Technicians, Product Owners, and other Systems Engineers.

Technical Impact: The Systems Engineer (RAE) has a significant impact on the reliability, performance, and availability of Amazon's automation systems, directly influencing the efficiency and productivity of Fulfillment Center operations.

Growth Opportunities:

Technical Growth: Develop expertise in robotics, mechatronics, and data analysis, and expand your skills in process improvement, system optimization, and automation.
Leadership Growth: Build your leadership skills by mentoring team members, driving cross-functional projects, and contributing to the development of the RAE team's strategy and roadmap.
Career Progression: Advance to senior roles within the RAE team, such as RAE Team Lead or Principal Systems Engineer, or explore opportunities in related fields, such as Engineering, Operations, or Facilities Management.

📝 Enhancement Note: The Systems Engineer (RAE) role offers significant opportunities for technical and professional growth, as well as the chance to make a tangible impact on Amazon's operations and customer experience.

🌐 Work Environment

Office Type: On-site, with up to 50% travel required to visit Fulfillment Centers and collaborate with cross-functional teams.

Office Location(s): San Fernando de Henares, Madrid, Spain

Workspace Context:

The RAE team works in a collaborative, fast-paced environment, with a strong focus on data-driven decision-making and continuous improvement.
Team members have access to the tools and resources they need to succeed, including advanced data analysis software, automation equipment, and dedicated workspace within Fulfillment Centers.
The RAE team encourages open communication, knowledge sharing, and cross-functional collaboration, fostering a culture of learning and innovation.

Work Schedule: Full-time (40 hours per week), with flexible scheduling to accommodate travel and maintenance windows.

📝 Enhancement Note: The RAE team's work environment is dynamic and fast-paced, with a strong emphasis on data-driven decision-making, continuous improvement, and cross-functional collaboration. Team members have the opportunity to work on high-impact projects that directly influence Amazon's operations and customer experience.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills, problem-solving abilities, and data analysis proficiency.
Phone Screen: Participate in a phone screen to discuss your background, experience, and motivation for the role.
On-site Interview: Attend an on-site interview at the San Fernando de Henares office, where you will meet with members of the RAE team, discuss your portfolio, and participate in technical exercises and case studies.
Final Decision: Receive a final decision and, if successful, an offer of employment.

Portfolio Review Tips:

Highlight your experience in robotics, mechatronics, and reliability engineering, with a focus on data-driven decision-making, process improvement, and system optimization.
Include examples of your data analysis skills, with a focus on SQL, Python, or R, and present any relevant reports, visualizations, or automated reporting solutions.
Showcase your ability to work collaboratively with cross-functional teams, with a focus on driving process improvement and enhancing system performance.

Technical Challenge Preparation:

Brush up on your data analysis skills, with a focus on SQL, Python, or R, and practice using these tools to analyze large datasets and identify trends and patterns.
Familiarize yourself with Amazon's Fulfillment Center operations and automation systems, and be prepared to discuss how your technical skills and experience can support these systems and drive continuous improvement.
Prepare for case studies and technical exercises that focus on root cause analysis, process improvement, and system optimization.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The interview process for the Systems Engineer (RAE) role is designed to evaluate your technical skills, problem-solving abilities, and cultural fit within the RAE team. By preparing thoroughly and showcasing your relevant experience and skills, you can increase your chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

Robotics & Mechatronics Systems: Familiarity with Amazon's robotics and mechatronics systems, including their components, controls, and HMI components.
Control Network Components: Experience with control network components, motion control, and standard electrical components.
SCADA Systems: Ability to identify, maintain, and utilize SCADA systems and KPI's to monitor and optimize system performance.

Development & DevOps Tools:

Data Analysis Tools: Proficiency in SQL, Python, or R for data extraction, organization, visualization, and statistical analysis.
Advanced SQL & Quicksight: Experience using advanced SQL and Quicksight to develop automated reporting and provide actionable insights to RME leadership.
JIRA & Confluence: Familiarity with JIRA and Confluence for project management, documentation, and collaboration within the RAE team.

📝 Enhancement Note: The Systems Engineer (RAE) role requires a strong background in robotics, mechatronics, and data analysis, as well as experience with the specific automation systems and tools used within Amazon's Fulfillment Centers.

👥 Team Culture & Values

Web Development Values:

Customer Obsession: Focus on understanding and meeting the needs of Amazon's customers, both internal and external, through continuous improvement and innovation.
Ownership: Take responsibility for driving results and holding yourself and others accountable for delivering high-quality outcomes.
Invent & Simplify: Embrace a culture of experimentation, learning, and innovation, constantly seeking to simplify processes and improve results.
Learn & Be Curious: Foster a culture of learning and curiosity, encouraging team members to ask questions, seek feedback, and continuously improve their skills and knowledge.

Collaboration Style:

Cross-Functional Collaboration: Work closely with cross-functional teams, including Maintenance Technicians, Product Owners, and other Systems Engineers, to drive continuous improvement and optimize system performance.
Structured Problem Solving: Utilize data-driven decision-making, root cause analysis, and process improvement methodologies to identify and address technical challenges and opportunities.
Knowledge Sharing: Encourage open communication, knowledge sharing, and mentoring within the RAE team, fostering a culture of learning and growth.

📝 Enhancement Note: The RAE team's culture is characterized by its focus on customer obsession, ownership, invention, and learning. Team members work collaboratively to drive continuous improvement, optimize system performance, and support Amazon's operations and customer experience.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Analysis & Interpretation: Analyze large-scale data from PLCs, sensors, controls equipment, and maintenance records to identify improvement opportunities and drive process optimization.
Root Cause Analysis: Utilize data-driven decision-making, design of experiments, and six sigma methods to identify the root cause of system failures and downtime, and develop effective corrective actions.
Process Improvement: Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA), to reduce downtime, eliminate errors and defects, and optimize overall equipment performance.
System Optimization: Design, pilot, and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability trends across assets.

Learning & Development Opportunities:

Technical Skill Development: Expand your expertise in robotics, mechatronics, data analysis, and process improvement, and explore emerging technologies and best practices in automation and system optimization.
Leadership Development: Build your leadership skills by mentoring team members, driving cross-functional projects, and contributing to the development of the RAE team's strategy and roadmap.
Career Progression: Advance to senior roles within the RAE team, such as RAE Team Lead or Principal Systems Engineer, or explore opportunities in related fields, such as Engineering, Operations, or Facilities Management.

📝 Enhancement Note: The Systems Engineer (RAE) role presents significant technical challenges and growth opportunities, with a strong focus on data-driven decision-making, process improvement, and system optimization. By embracing these challenges and seeking continuous learning and development, team members can make a tangible impact on Amazon's operations and customer experience.

💡 Interview Preparation

Technical Questions:

Data Analysis & Interpretation: Describe your experience analyzing large-scale data to identify trends, patterns, and improvement opportunities. Provide examples of your approach to data-driven decision-making and process optimization.
Root Cause Analysis: Explain your methodology for identifying the root cause of system failures and downtime, and discuss your experience driving corrective actions and process improvement.
Process Improvement: Describe your experience leading Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA), and provide examples of your approach to reducing downtime, eliminating errors and defects, and optimizing overall equipment performance.

Company & Culture Questions:

Amazon's Fulfillment Center Operations: Explain your understanding of Amazon's Fulfillment Center operations and automation systems, and discuss how your technical skills and experience can support these systems and drive continuous improvement.
RAE Team Culture: Describe your experience working in a collaborative, data-driven environment, and discuss how you would contribute to the RAE team's culture of learning, innovation, and continuous improvement.
Customer Obsession: Explain how you would prioritize understanding and meeting the needs of Amazon's customers, both internal and external, through continuous improvement and innovation in your role as a Systems Engineer (RAE).

Portfolio Presentation Strategy:

Data-Driven Storytelling: Present your portfolio using data-driven storytelling, with a focus on the impact of your work on system performance, process improvement, and customer experience.
Collaborative Problem Solving: Highlight your experience working collaboratively with cross-functional teams to drive continuous improvement and optimize system performance.
Technical Deep Dive: Provide a deep dive into the technical aspects of your projects, including system architecture, data analysis methods, and process improvement strategies, and explain how you overcame any significant challenges.

📝 Enhancement Note: The interview process for the Systems Engineer (RAE) role is designed to evaluate your technical skills, problem-solving abilities, and cultural fit within the RAE team. By preparing thoroughly and showcasing your relevant experience and skills, you can increase your chances of success in the interview process.

📌 Application Steps

To apply for this Systems Engineer (RAE) position at Amazon:

Submit Your Application: Click the "Apply" button on the job listing page and complete the online application form.
Prepare Your Portfolio: Tailor your portfolio to highlight your experience in robotics, mechatronics, data analysis, and process improvement, with a focus on data-driven decision-making, system optimization, and customer experience.
Optimize Your Resume: Tailor your resume to emphasize your relevant skills and experience, with a focus on data analysis, process improvement, and system optimization. Include any relevant keywords and phrases to improve your resume's visibility in Amazon's Applicant Tracking System (ATS).
Research Amazon's Fulfillment Center Operations: Familiarize yourself with Amazon's Fulfillment Center operations and automation systems, and be prepared to discuss how your technical skills and experience can support these systems and drive continuous improvement.
Prepare for Technical Interviews: Brush up on your data analysis skills, with a focus on SQL, Python, or R, and practice using these tools to analyze large datasets and identify trends and patterns. Prepare for case studies and technical exercises that focus on root cause analysis, process improvement, and system optimization.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Amazon Technologies Systems Engineer, Reliability and Automation Engineering Team (RAE)