📍 Job Overview

Job Title: Performance Engineer, Innovation and Design Engineering
Company: Amazon
Location: Milan, Lombardy, Italy
Job Type: Hybrid (3 days on-site, 2 days remote)
Category: DevOps Engineer
Date Posted: 2025-06-13
Experience Level: Mid-Senior level (2-5 years)
Remote Status: Hybrid with up to 40% travel domestically or to other EMEA countries

🚀 Role Summary

Key Responsibilities: Lead testing and optimization of advanced mechatronic automation systems, design and execute comprehensive experiments to validate machine performance, drive design improvements, and influence automation architecture decisions.
Key Skills: Performance Engineering, Statistical Analysis, Automation Validation, Mechanical Systems, Data Analysis, Problem-Solving, Collaboration, Experimental Design.

📝 Enhancement Note: This role requires a strong background in performance engineering, data analysis, and mechanical systems to excel in validating and optimizing complex mechatronic automation systems. Candidates should be comfortable working in a cross-functional team and have a passion for pushing the boundaries of automation technology.

💻 Primary Responsibilities

Design and Execute Experiments: Create structured test plans, conduct rigorous performance evaluations, and identify system limitations to validate machine performance and establish operational boundaries.
Analyze Test Results: Apply statistical methods to analyze test results, troubleshoot complex process issues, and develop innovative solutions to drive design improvements.
Collaborate with Cross-Functional Teams: Work closely with Simulation, Business Intelligence, Operations, and Process Engineering teams to define and validate performance requirements that exceed customer expectations.
Build Self-Service Tools: Develop automated test sequences and maintain detailed documentation of testing protocols and results to streamline testing procedures.
Influence Design Decisions: Participate in technical reviews and influence automation architecture decisions to ensure optimal performance outcomes.

📝 Enhancement Note: This role involves a mix of hands-on testing, data analysis, and collaboration with various teams. Candidates should be comfortable working in a dynamic environment and have strong problem-solving abilities to drive excellence in field-deployed solutions.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Mechanical Engineering, Mechatronics, Industrial Engineering, or a related technical field is required. A Master's degree or advanced technical degree is preferred.

Experience: 3+ years of relevant engineering experience in manufacturing, logistics, or similar fields is required. Experience with Data & Analytics software such as Python/R, Minitab/JMP, Power BI/Tableau, SQL is preferred.

Required Skills:

Proficiency in statistical analysis
Hands-on experience in automation validation
Fluency in English language
Strong problem-solving abilities
Exceptional collaboration skills
Experience with mechanical systems and automation controls

Preferred Skills:

Experience with Data & Analytics software: Python/R, Minitab/JMP, Power BI/Tableau, SQL
Fluency in German or French languages

📝 Enhancement Note: Candidates with a strong background in statistical analysis, automation validation, and mechanical systems will excel in this role. Experience with data analysis software and additional language skills are a plus but not required.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in performance engineering, data analysis, and mechanical systems through relevant projects.
Showcase your ability to design and execute experiments, analyze test results, and develop innovative solutions.
Highlight your collaboration skills and experience working with cross-functional teams.

Technical Documentation:

Provide detailed documentation of testing protocols, results, and any self-service tools developed to streamline testing procedures.
Include case studies demonstrating your ability to influence design decisions and drive performance improvements.

📝 Enhancement Note: Candidates should focus on demonstrating their technical expertise in performance engineering, data analysis, and mechanical systems through relevant projects and case studies. Highlighting their ability to collaborate with cross-functional teams and influence design decisions will strengthen their application.

💵 Compensation & Benefits

Salary Range: €55,000 - €75,000 per year (based on market research for mid-senior level performance engineers in Milan, Italy)

Benefits:

Competitive salary and comprehensive benefits package
Opportunities for travel and work in multiple countries and cultures
Strong culture of technical excellence and value for data-driven insights
Influence product design decisions and have a direct impact on customer success

Working Hours: Full-time position with a flexible work schedule, including up to 40% travel domestically or to other EMEA countries.

📝 Enhancement Note: The salary range is based on market research for mid-senior level performance engineers in Milan, Italy. The benefits package is competitive and includes opportunities for travel and work in multiple countries and cultures, as well as a strong culture of technical excellence and value for data-driven insights.

🎯 Team & Company Context

🏢 Company Culture

Industry: Amazon operates in the e-commerce and cloud computing industries, 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 responsible for designing and building mechatronic systems to improve safety, speed, and quality in the last mile of Amazon's operations.
This role will collaborate with various teams, including Simulation, Business Intelligence, Operations, and Process Engineering, to define and validate performance requirements that exceed customer expectations.

Development Methodology:

Amazon uses agile methodologies to drive innovation and continuous improvement in its operations.
The Innovation and Design Engineering team follows a structured approach to designing, testing, and optimizing mechatronic automation systems, with a focus on data-driven decision-making and collaboration.

Company Website: www.amazon.com

📝 Enhancement Note: Amazon's company culture is focused on innovation, customer obsession, and operational excellence. The Innovation and Design Engineering team is a cross-functional group responsible for designing and building mechatronic systems to improve safety, speed, and quality in Amazon's operations. This role will collaborate with various teams to define and validate performance requirements that exceed customer expectations.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong background in performance engineering, data analysis, and mechanical systems. The ideal candidate will have 3+ years of relevant engineering experience and a Bachelor's degree in a related technical field.

Reporting Structure: This role will report directly to the Engineering Manager of the Innovation and Design Engineering team. The role will collaborate with various teams, including Simulation, Business Intelligence, Operations, and Process Engineering, to define and validate performance requirements that exceed customer expectations.

Technical Impact: The Performance Engineer will have a direct impact on the performance and reliability of Amazon's mechatronic automation systems. By designing and executing comprehensive experiments, analyzing test results, and developing innovative solutions, the Performance Engineer will drive design improvements and ensure that Amazon's products exceed customer expectations in the field.

Growth Opportunities:

Technical Growth: This role offers opportunities to develop expertise in performance engineering, data analysis, and mechanical systems. Candidates will have the chance to work on cutting-edge mechatronic automation systems and push the boundaries of automation technology.
Leadership Growth: As the Performance Engineer gains experience and demonstrates strong technical leadership, there may be opportunities to take on more responsibilities and mentor junior team members.
Career Progression: With a strong performance in this role, candidates may have the opportunity to progress to senior roles within the Innovation and Design Engineering team or other teams within Amazon.

📝 Enhancement Note: This role offers opportunities for technical growth in performance engineering, data analysis, and mechanical systems. Candidates will have the chance to work on cutting-edge mechatronic automation systems and push the boundaries of automation technology. With strong performance, there may be opportunities for leadership growth and career progression within Amazon.

🌐 Work Environment

Office Type: Amazon's corporate offices are modern, collaborative workspaces designed to foster innovation and creativity. The Milan office is located in the heart of the city, providing easy access to public transportation and amenities.

Office Location(s): Milan, Lombardy, Italy

Workspace Context:

Collaborative Environment: The Milan office is designed to encourage collaboration and communication among team members. The open floor plan features shared workspaces, meeting rooms, and breakout areas.
Development Tools: Amazon provides its employees with access to the latest development tools and technologies to support their work.
Cross-Functional Collaboration: The Innovation and Design Engineering team works closely with other teams, including Simulation, Business Intelligence, Operations, and Process Engineering, to define and validate performance requirements that exceed customer expectations.

Work Schedule: This role is a hybrid position, with 3 days on-site and 2 days remote. The work schedule is flexible, with a focus on delivering results and meeting project deadlines.

📝 Enhancement Note: Amazon's corporate offices are modern, collaborative workspaces designed to foster innovation and creativity. The Milan office is located in the heart of the city, providing easy access to public transportation and amenities. The workspace is designed to encourage collaboration and communication among team members, with access to the latest development tools and technologies. The work schedule is flexible, with a focus on delivering results and meeting project deadlines.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to assess communication skills and cultural fit.
Technical Phone Screen: A deeper dive into the candidate's technical skills, focusing on performance engineering, data analysis, and mechanical systems.
On-site Interview: A full-day on-site interview, including technical presentations, case studies, and behavioral interviews.
Final Review: A final review of the candidate's qualifications and fit for the role.

Portfolio Review Tips:

Highlight projects that demonstrate your ability to design and execute experiments, analyze test results, and develop innovative solutions.
Showcase your collaboration skills and experience working with cross-functional teams.
Include case studies that demonstrate your ability to influence design decisions and drive performance improvements.

Technical Challenge Preparation:

Brush up on your statistical analysis skills, as well as your understanding of mechanical systems and automation controls.
Prepare for case studies that involve designing and executing experiments, analyzing test results, and developing innovative solutions.
Familiarize yourself with Amazon's agile methodologies and data-driven decision-making approach.

ATS Keywords: (See the comprehensive list of ATS keywords at the end of this document)

📝 Enhancement Note: The interview process for this role involves a phone screen, technical phone screen, on-site interview, and final review. Candidates should highlight projects that demonstrate their ability to design and execute experiments, analyze test results, and develop innovative solutions. They should also showcase their collaboration skills and experience working with cross-functional teams. Familiarizing oneself with Amazon's agile methodologies and data-driven decision-making approach will be beneficial.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on performance engineering, data analysis, and mechanical systems.

Backend & Server Technologies:

Mechatronic Automation Systems: Experience with mechatronic automation systems, including robotics, conveyoring, automated storage, and vision systems, is required.
Data Analysis Tools: Proficiency in statistical analysis tools, such as Python/R, Minitab/JMP, Power BI/Tableau, SQL, is preferred.

Development & DevOps Tools:

Amazon Web Services (AWS): Familiarity with AWS services, such as Amazon Robotics, Amazon Machine Learning, and Amazon S3, is preferred but not required.
Collaboration Tools: Experience with collaboration tools, such as Amazon Chime, Amazon WorkSpaces, and Amazon WorkMail, is preferred but not required.

📝 Enhancement Note: This role focuses on performance engineering, data analysis, and mechanical systems, with a strong emphasis on mechatronic automation systems. Proficiency in statistical analysis tools, such as Python/R, Minitab/JMP, Power BI/Tableau, SQL, is preferred. Familiarity with Amazon Web Services (AWS) and collaboration tools is a plus but not required.

👥 Team Culture & Values

Web Development Values:

Innovation: Amazon is committed to pushing the boundaries of automation technology and uncovering the true potential of complex mechatronic systems.
Customer Obsession: Amazon is dedicated to delivering excellence in its products and services, with a focus on exceeding customer expectations.
Data-Driven Decision Making: Amazon values data-driven insights and uses statistical analysis to inform its design and optimization processes.
Collaboration: Amazon fosters a culture of collaboration and communication, with a focus on working together to achieve common goals.

Collaboration Style:

Cross-Functional Collaboration: The Innovation and Design Engineering team works closely with various teams, including Simulation, Business Intelligence, Operations, and Process Engineering, to define and validate performance requirements that exceed customer expectations.
Data-Driven Decision Making: Amazon uses data-driven insights to inform its design and optimization processes, with a focus on statistical analysis and experimentation.
Agile Methodologies: Amazon uses agile methodologies to drive innovation and continuous improvement in its operations.

📝 Enhancement Note: Amazon values innovation, customer obsession, data-driven decision making, and collaboration. The Innovation and Design Engineering team works closely with various teams to define and validate performance requirements that exceed customer expectations. Amazon uses data-driven insights to inform its design and optimization processes, with a focus on statistical analysis and experimentation. The team follows agile methodologies to drive innovation and continuous improvement in its operations.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Complex Mechatronic Systems: Designing and executing experiments to validate the performance of complex mechatronic automation systems requires a deep understanding of mechanical systems, automation controls, and data analysis.
Statistical Analysis: Analyzing test results and developing innovative solutions requires a strong background in statistical analysis and data interpretation.
Cross-Functional Collaboration: Working with various teams to define and validate performance requirements that exceed customer expectations requires strong communication and collaboration skills.

Learning & Development Opportunities:

Technical Skill Development: This role offers opportunities to develop expertise in performance engineering, data analysis, and mechanical systems. Candidates will have the chance to work on cutting-edge mechatronic automation systems and push the boundaries of automation technology.
Conference Attendance: Amazon encourages its employees to attend industry conferences and events to stay up-to-date with the latest trends and best practices in performance engineering, data analysis, and mechanical systems.
Mentorship and Leadership Development: As the Performance Engineer gains experience and demonstrates strong technical leadership, there may be opportunities to take on more responsibilities and mentor junior team members.

📝 Enhancement Note: This role presents technical challenges in designing and executing experiments to validate the performance of complex mechatronic automation systems, as well as statistical analysis and cross-functional collaboration. The role offers opportunities for technical skill development, conference attendance, and mentorship and leadership development.

💡 Interview Preparation

Technical Questions:

Performance Engineering: Prepare for questions related to performance engineering, data analysis, and mechanical systems. Be ready to discuss your experience with mechatronic automation systems, statistical analysis tools, and data interpretation.
Case Studies: Prepare for case studies that involve designing and executing experiments, analyzing test results, and developing innovative solutions. Be ready to discuss your approach to problem-solving, collaboration, and data-driven decision making.
Behavioral Questions: Prepare for behavioral questions that assess your cultural fit, communication skills, and ability to work in a dynamic, cross-functional team.

Company & Culture Questions:

Amazon's Values: Familiarize yourself with Amazon's leadership principles and values, including customer obsession, innovation, data-driven decision making, and collaboration.
Amazon's Approach to Performance Engineering: Research Amazon's approach to performance engineering, data analysis, and mechanical systems. Be ready to discuss how your experience and skills align with Amazon's methodologies and best practices.
Amazon's Impact on the Last Mile: Understand Amazon's focus on improving safety, speed, and quality in the last mile of its operations. Be ready to discuss how your work as a Performance Engineer will contribute to Amazon's success in this area.

Portfolio Presentation Strategy:

Project Selection: Choose projects that demonstrate your ability to design and execute experiments, analyze test results, and develop innovative solutions. Highlight your collaboration skills and experience working with cross-functional teams.
Storytelling: Use storytelling techniques to bring your projects to life and engage your interviewers in your presentation.
Data Visualization: Use data visualization tools, such as Power BI or Tableau, to present your data analysis and insights in a clear and compelling way.

📝 Enhancement Note: Prepare for technical questions related to performance engineering, data analysis, and mechanical systems, as well as case studies and behavioral questions. Familiarize yourself with Amazon's leadership principles, approach to performance engineering, and impact on the last mile of its operations. Use storytelling techniques and data visualization tools to present your projects and insights in a clear and compelling way.

📌 Application Steps

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

Customize Your Resume: Highlight your experience in performance engineering, data analysis, and mechanical systems. Include relevant keywords and metrics to demonstrate your technical proficiency.
Tailor Your Cover Letter: Explain how your background, skills, and career goals align with the role and Amazon's values. Address the specific requirements and challenges of the role and how you plan to tackle them.
Prepare Your Portfolio: Select projects that demonstrate your ability to design and execute experiments, analyze test results, and develop innovative solutions. Highlight your collaboration skills and experience working with cross-functional teams.
Practice Your Interview Skills: Prepare for phone screens, technical phone screens, on-site interviews, and final reviews. Familiarize yourself with Amazon's leadership principles, approach to performance engineering, and impact on the last mile of its operations. Use storytelling techniques and data visualization tools to present your projects and insights in a clear and compelling way.

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

📝 ATS Keywords

Programming Languages:

Python
R
SQL

Web Frameworks:

Not applicable, as this role focuses on performance engineering, data analysis, and mechanical systems.

Server Technologies:

Mechatronic Automation Systems
Amazon Robotics
Amazon Machine Learning
Amazon S3

Databases:

Not applicable, as this role focuses on performance engineering, data analysis, and mechanical systems.

Tools:

Statistical Analysis Tools: Python/R, Minitab/JMP, Power BI/Tableau, SQL
Collaboration Tools: Amazon Chime, Amazon WorkSpaces, Amazon WorkMail
Development Tools: Amazon Web Services (AWS)

Methodologies:

Agile Methodologies
Data-Driven Decision Making
Experimental Design

Soft Skills:

Problem-Solving
Collaboration
Communication
Leadership
Innovation

Industry Terms:

Performance Engineering
Data Analysis
Mechanical Systems
Automation Controls
Experimental Design
Statistical Analysis
Mechatronic Automation Systems
Amazon Robotics
Amazon Machine Learning
Amazon S3

This comprehensive list of ATS keywords is organized by category and includes relevant terms for performance engineering, data analysis, mechanical systems, and Amazon-specific technologies. Incorporating these keywords naturally throughout your resume and application materials will optimize your visibility to Amazon's Applicant Tracking System.

Performance Engineer, Innovation and Design Engineering