📍 Job Overview

Job Title: Performance Engineer, Innovation and Design Engineering
Company: Amazon
Location: Milan, Lombardy, Italy
Job Type: Hybrid (2 days on-site per week)
Category: DevOps Engineer
Date Posted: June 13, 2025
Experience Level: Mid-Level (2-5 years)
Remote Status: On-site with up to 40% travel domestically or internationally

🚀 Role Summary

Lead testing and optimization of advanced mechatronic automation systems at Amazon's Innovation and Design Engineering team.
Design and execute comprehensive experiments to validate machine performance, establish operational boundaries, and drive design improvements.
Collaborate cross-functionally with stakeholders to define and validate performance requirements that exceed customer expectations.
Influence automation architecture decisions and ensure optimal performance outcomes through technical reviews.

📝 Enhancement Note: This role requires a strong background in performance engineering, statistical analysis, and mechatronics to excel in a fast-paced, innovative environment. Familiarity with automation controls, data analysis, and problem-solving skills are essential for success in this position.

💻 Primary Responsibilities

Design and Execute Experiments: Develop and implement structured test plans to validate machine performance, identify system limitations, and optimize automation solutions.
Analyze Test Results: Apply statistical methods to analyze test results, troubleshoot complex process issues, and develop innovative solutions to improve machine performance.
Collaborate Cross-Functionally: Work closely with cross-functional stakeholders, including Simulation, Business Intelligence, Operations, and Process Engineering teams, to define and validate performance requirements.
Influence Architecture Decisions: Participate in technical reviews and influence automation architecture decisions to ensure optimal performance outcomes.
Build Self-Service Tools: Create self-service tools to streamline testing procedures and maintain detailed documentation of testing protocols and results.

📝 Enhancement Note: This role demands a proactive approach to problem-solving, exceptional collaboration skills, and the ability to translate technical findings into actionable business insights.

🎓 Skills & Qualifications

Education:

Bachelor's degree in Mechanical Engineering, Mechatronics, Industrial Engineering, or a related technical field (required)
Master's degree or advanced technical degree (preferred)

Experience:

3+ years of relevant engineering experience in manufacturing, logistics, or similar fields (required)

Required Skills:

Proficiency in statistical analysis (required)
Hands-on experience in automation validation (required)
Strong problem-solving abilities and exceptional collaboration skills (required)
Experience with mechanical systems, automation controls, and data analysis (required)
Fluency in English language (required)

Preferred Skills:

Experience with Data & Analytics software: Python/R, Minitab/JMP, Power BI/Tableau, SQL (preferred)
German or French languages (relevant benefit but not a must-have for the role) (preferred)

📝 Enhancement Note: Candidates with a strong background in experimental design, performance optimization, and mechatronics will excel in this role. Familiarity with data analysis tools and programming languages is a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate a proven track record of designing and executing experiments to validate machine performance and drive design improvements.
Showcase your ability to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
Highlight your experience collaborating with cross-functional stakeholders to define and validate performance requirements.
Display your proficiency in influencing automation architecture decisions and ensuring optimal performance outcomes.

Technical Documentation:

Provide detailed documentation of testing protocols, results, and self-service tools created to streamline testing procedures.
Include case studies demonstrating your ability to translate technical findings into actionable business insights.
Showcase your understanding of mechanical systems, automation controls, and data analysis through relevant projects and case studies.

📝 Enhancement Note: A strong portfolio demonstrating your expertise in performance engineering, experimental design, and data analysis will be crucial for success in this role. Highlight your ability to work collaboratively and influence technical decisions.

💵 Compensation & Benefits

Salary Range: €55,000 - €75,000 per year (estimated based on market research and regional adjustments for mid-level DevOps engineers in Milan, Italy)

Benefits:

Competitive salary and benefits package (details not specified)
Opportunities for travel and work in multiple countries and cultures
A strong culture of technical excellence and value for data-driven insights
The opportunity to influence product design decisions and drive engineering excellence

Working Hours: Full-time (40 hours per week) with up to 40% travel domestically or internationally

📝 Enhancement Note: The estimated salary range is based on market research for mid-level DevOps engineers in Milan, Italy. Actual compensation may vary based on individual qualifications and company-specific benefits packages.

🎯 Team & Company Context

🏢 Company Culture

Industry: Amazon operates in the e-commerce and technology sectors, with a focus on innovation, customer obsession, and operational excellence.

Company Size: Amazon is a large, multinational corporation with over 1.3 million employees worldwide. This role will be based in one of Amazon's corporate offices in Europe, providing ample opportunities for collaboration and growth.

Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, USA.

Team Structure:

The Innovation and Design Engineering team is a cross-functional group of mechatronic engineers, controls engineers, data engineers, and simulation scientists.
The team works on designing and building mechatronic systems, including robotics, conveyoring, automated storage, and vision systems, to improve safety, speed, and quality in the last mile (AMZL) of Amazon's operations across the world.

Development Methodology:

The team follows a data-driven approach to engineering, leveraging statistical analysis, experimental design, and performance optimization techniques.
Collaboration and cross-functional integration are key aspects of the team's development methodology, with a strong focus on influencing product design decisions and driving engineering excellence.

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

📝 Enhancement Note: Amazon's company culture emphasizes innovation, customer obsession, and operational excellence. The Innovation and Design Engineering team focuses on data-driven engineering, collaboration, and driving engineering excellence through performance optimization and experimental design.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a mid-level position within Amazon's Innovation and Design Engineering team, focusing on performance engineering, experimental design, and data analysis. The ideal candidate will have 3+ years of relevant engineering experience and a strong background in mechatronics, automation controls, and statistical analysis.

Reporting Structure: The Performance Engineer will report directly to the Innovation and Design Engineering team lead and collaborate closely with cross-functional stakeholders, including Simulation, Business Intelligence, Operations, and Process Engineering teams.

Technical Impact: This role has a significant impact on Amazon's automation solutions, as the Performance Engineer will drive design improvements, establish operational boundaries, and ensure optimal performance outcomes through rigorous testing and statistical analysis.

Growth Opportunities:

Technical Growth: Develop expertise in experimental design, performance optimization, and emerging mechatronics technologies.
Leadership Potential: Demonstrate strong problem-solving abilities, exceptional collaboration skills, and the ability to influence technical decisions to advance to senior or leadership roles within the team.
Cross-Functional Collaboration: Work closely with various teams to gain exposure to different aspects of Amazon's operations and expand your skillset.

📝 Enhancement Note: This role offers significant growth opportunities for mid-level engineers looking to develop their expertise in performance engineering, experimental design, and data analysis. The cross-functional nature of the role provides ample opportunities for collaboration and learning.

🌐 Work Environment

Office Type: Amazon's corporate offices provide a modern, collaborative work environment with state-of-the-art facilities and resources to support the team's innovative projects.

Office Location(s): This role can be based in any of Amazon's corporate offices in Europe, with up to 40% travel domestically or internationally.

Workspace Context:

Collaborative Environment: The team works closely together, fostering a culture of knowledge sharing, technical mentoring, and continuous learning.
Development Tools: Amazon provides access to cutting-edge tools, software, and resources to support the team's work on mechatronic systems, automation controls, and data analysis.
Cross-Functional Interaction: The team interacts regularly with various stakeholders, including designers, marketers, and business teams, to define and validate performance requirements and drive engineering excellence.

Work Schedule: Full-time (40 hours per week) with up to 40% travel domestically or internationally. The role requires a flexible schedule to accommodate deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: Amazon's work environment encourages collaboration, innovation, and continuous learning. The cross-functional nature of the role provides ample opportunities for interaction with various teams and stakeholders, fostering a culture of knowledge sharing and technical mentoring.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your proficiency in statistical analysis, experimental design, and data analysis through a technical assessment or case study.
Behavioral Questions: Showcase your problem-solving abilities, collaboration skills, and ability to influence technical decisions through behavioral questions.
Cross-Functional Interaction: Participate in a cross-functional interview with stakeholders from various teams to assess your fit within the organization.
Final Evaluation: Present your findings and recommendations from a technical challenge or case study to a panel of Amazon's technical leaders.

Portfolio Review Tips:

Highlight your experience in designing and executing experiments to validate machine performance and drive design improvements.
Showcase your ability to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
Demonstrate your proficiency in collaborating with cross-functional stakeholders to define and validate performance requirements.
Emphasize your understanding of mechanical systems, automation controls, and data analysis through relevant projects and case studies.

Technical Challenge Preparation:

Brush up on your statistical analysis, experimental design, and data analysis skills.
Familiarize yourself with Amazon's products, services, and automation solutions to demonstrate your understanding of the company's operations.
Prepare for behavioral questions that assess your problem-solving abilities, collaboration skills, and ability to influence technical decisions.

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 this role focuses on assessing the candidate's technical proficiency in performance engineering, experimental design, and data analysis, as well as their problem-solving abilities, collaboration skills, and ability to influence technical decisions. A strong portfolio demonstrating the candidate's expertise in these areas will be crucial for success in the interview process.

🛠 Technology Stack & Web Infrastructure

Data Analysis Tools:

Python/R (preferred)
Minitab/JMP (preferred)
Power BI/Tableau (preferred)
SQL (preferred)

Mechatronics & Automation Controls:

Mechanical systems (required)
Automation controls (required)
Data analysis (required)

📝 Enhancement Note: This role requires proficiency in data analysis tools, such as Python/R, Minitab/JMP, Power BI/Tableau, and SQL, as well as a strong understanding of mechanical systems, automation controls, and data analysis. Familiarity with Amazon's products, services, and automation solutions is a plus.

👥 Team Culture & Values

Web Development Values:

Innovation: Push the boundaries of automation technology and uncover the true potential of complex mechatronic systems.
Data-Driven Insights: Value data-driven insights and use statistical analysis to drive engineering excellence.
Collaboration: Work closely with cross-functional stakeholders to define and validate performance requirements and drive engineering excellence.
Customer Obsession: Focus on improving safety, speed, and quality in the last mile (AMZL) of Amazon's operations to exceed customer expectations.

Collaboration Style:

Cross-Functional Integration: Collaborate with various teams, including Simulation, Business Intelligence, Operations, and Process Engineering teams, to define and validate performance requirements.
Code Review Culture: Participate in technical reviews to influence automation architecture decisions and ensure optimal performance outcomes.
Knowledge Sharing: Foster a culture of technical mentoring, continuous learning, and knowledge sharing within the team.

📝 Enhancement Note: Amazon's Innovation and Design Engineering team values innovation, data-driven insights, collaboration, and customer obsession. The team fosters a culture of technical mentoring, continuous learning, and knowledge sharing, with a strong emphasis on cross-functional collaboration and influencing technical decisions.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Performance Optimization: Design and execute experiments to validate machine performance, establish operational boundaries, and drive design improvements.
Statistical Analysis: Apply statistical methods to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
Cross-Functional Collaboration: Work closely with various teams to define and validate performance requirements and drive engineering excellence.
Emerging Technologies: Stay up-to-date with the latest developments in mechatronics, automation controls, and data analysis to drive innovation and engineering excellence.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in experimental design, performance optimization, and emerging mechatronics technologies.
Conference Attendance: Attend industry conferences and events to stay up-to-date with the latest developments in mechatronics, automation controls, and data analysis.
Technical Mentorship: Participate in technical mentoring programs to share knowledge and learn from experienced engineers within the team.

📝 Enhancement Note: This role presents significant technical challenges in performance optimization, statistical analysis, cross-functional collaboration, and staying up-to-date with emerging technologies. The learning and development opportunities focus on technical skill development, conference attendance, and technical mentorship to drive continuous growth and innovation.

💡 Interview Preparation

Technical Questions:

Statistical Analysis: Prepare for questions assessing your proficiency in statistical analysis, experimental design, and data analysis.
Mechatronics & Automation Controls: Brush up on your understanding of mechanical systems, automation controls, and data analysis to demonstrate your expertise in the field.
Problem-Solving: Prepare for behavioral questions that assess your problem-solving abilities, collaboration skills, and ability to influence technical decisions.

Company & Culture Questions:

Amazon's Operations: Familiarize yourself with Amazon's products, services, and automation solutions to demonstrate your understanding of the company's operations.
Team Dynamics: Prepare for questions about Amazon's team culture, cross-functional collaboration, and knowledge sharing to assess your fit within the organization.
Customer Obsession: Prepare for questions about Amazon's focus on improving safety, speed, and quality in the last mile (AMZL) of the company's operations to exceed customer expectations.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your portfolio, highlighting your experience in designing and executing experiments to validate machine performance and drive design improvements.
Case Studies: Develop case studies demonstrating your ability to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
Technical Walkthrough: Prepare a technical walkthrough of your portfolio, emphasizing your understanding of mechanical systems, automation controls, and data analysis.

📝 Enhancement Note: The interview process for this role focuses on assessing the candidate's technical proficiency in performance engineering, experimental design, and data analysis, as well as their problem-solving abilities, collaboration skills, and ability to influence technical decisions. A strong portfolio demonstrating the candidate's expertise in these areas will be crucial for success in the interview process.

📌 Application Steps

To apply for this Performance Engineer, Innovation and Design Engineering position at Amazon:

Submit Your Application: Click on the application link provided in the job listing and submit your application through Amazon's careers portal.
Customize Your Portfolio: Tailor your portfolio to highlight your experience in designing and executing experiments to validate machine performance, establish operational boundaries, and drive design improvements. Include case studies demonstrating your ability to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
Optimize Your Resume: Highlight your relevant experience, skills, and qualifications in your resume, emphasizing your proficiency in statistical analysis, experimental design, and data analysis. Include keywords relevant to the role, such as "Performance Engineering," "Statistical Analysis," "Automation Validation," "Mechanical Systems," "Data Analysis," "Problem-Solving," "Collaboration," "Experimental Design," "Optimization," "Mechatronics," "Automation Controls," and "Technical Reviews."
Prepare for Technical Interview: Brush up on your technical skills, familiarize yourself with Amazon's products, services, and automation solutions, and prepare for behavioral questions that assess your problem-solving abilities, collaboration skills, and ability to influence technical decisions.
Research Amazon: Familiarize yourself with Amazon's company culture, team dynamics, and focus on improving safety, speed, and quality in the last mile (AMZL) of the company's operations to exceed customer expectations.

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

Performance Engineer, Innovation and Design Engineering