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Amazon

Process Engineer, NA SSD Network, Sub Same Day Process Engineering

Bellevue, WA, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

Description

Amazon is building the next generation software, hardware, and processes that will run the global network of fulfillment centers that move many millions of units of inventory, and ensure that customers get what they want faster than ever. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well.

We are constantly innovating in the ways we are automating and accelerating the delivery of products and packages which includes building custom hardware and applying robotics, autonomy, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems.

Sub Same Day (SSD) Engineering is looking for a Senior Process Engineer with a strong delivery record and proven project management experience to own strategic and tactical, cross-functional operations and technology projects associated with (SSD) facilities.

As a Process Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe.

You will lead initiatives and complex cross-functional projects or programs that focus on the building of new, the alteration of existing, and the closing of end-of-life material handling and technology systems. As a working leader, you are able to take the lead on the implementation and delivery of large system designs and advanced technology in ambiguous and complex problem spaces.

You integrate systems for safety, security, stability, and efficiency. You participate in the full system development life cycle, working within broadly defined parameters, including test plan execution and solution quality needs.

You must be responsive, flexible, and able to succeed within an open collaborative environment. Amazon’s culture encourages innovation and expects engineers to take a high-level of ownership in solving complex problems.

If you are a leader with enhanced focus on Quality, strong problem-solving skills, excellent communication skills, an ability to influence business and technical leaders in a dynamic environment with the desire to contribute to Amazon's next generation fulfillment technology, this opportunity is for you.

Joining our team provides the unique challenge and opportunity to deploy systems that benefit millions of customers.

The ideal candidate will draw upon exemplary leadership skills, program and project management, critical thinking, and problem-solving capabilities.

The candidate should be open to new tasks, innovative, creative, self-directed and a great team player. Candidate should drive continuous process improvement, and collaborate effectively with cross-functional operational and development teams to solve problems and implement new solutions.

Travel expected between 30% and 50%.

Key job responsibilities

Design Process: Develop new processes or modify existing ones, focusing on equipment, workflows, and material flow, select and specify equipment required for the process, ensuring it meets productivity goals and safety standards, analyze and optimize existing processes to identify areas for improvement to reduce waste, increase efficiency, and minimize costs.
Ensure quality and safety: Develop and implement testing methods to ensure product standards, ensure processes adhere to safety regulations and standards, and investigate, resolve issues that may arise.
Collaboration and Communication: partner/ collaborate with critical stakeholders ensuring safety, quality, and efficiency gains, effectively communicate technical information to stakeholders, including technical and non-technical audiences.
Monitoring and Analysis: monitor process performance, collect and analyze data for further improvement, leverage data analysis techniques to understand process behavior, trends to make informed decisions.
Utilize emerging technologies: leverage process simulation tools to model and analyses processes, research and implement new technologies to improve process efficiency and effectiveness.

A day in the life

As a Process Engineer, you will work across organizations to find solutions for complex problems, innovating on behalf of our customers. You will be engaged in tactical and some strategic problem solving and decision-making. You will drive efforts, individually or in collaboration to optimize productivity, prioritizing high impact projects. Your strong communication skills will be required when you present documents and findings to senior leadership. Your experience in conducting root cause analysis, will help in implementation of long-term solutions. You will be traveling (upto 50%) to sites to ensure practical outcomes match theoretical ones.

Basic Qualifications

5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
3+ years of maintenance or engineering experience
3+ years of refrigeration industry experience
Bachelor's degree
Associate's degree in a technical field, or 2+ years of Amazon RME (Reliability Maintenance Engineering) BB/3P Full Time Exempt experience
Experience in material handling equipment (MHE) or automation environments, or experience in reliability/maintenance environments
Experience leading cross-functional teams across engineering, operations, and field execution through launch readiness and go-live phases

Preferred Qualifications

1+ years of commercial CO2 refrigeration applications experience
Refrigeration Trade School certificate
Knowledge of AutoCAD, VBA, and SQL at the intermediate level
Knowledge of Reliability Centered Maintenance (RCM) programs for commercial refrigeration systems
Knowledge of performance metrics such as OEE (Overall Equipment Effectiveness), downtime, throughput, or quality
Experience working with and managing third party vendors
Experience with Six Sigma, lean manufacturing
Experience with Six Sigma tools and Lean techniques
Experience communicating technical concepts to non-technical audiences
Experience in Amazon RME (Reliability Maintenance Engineering) or fulfillment operations, or experience in similar environments
Experience with retrofits, launches, or automation deployments
Experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites

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, WA, Bellevue - 82,700.00 - 114,900.00 USD annually

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More about this job

Skills

Process engineering
Supply chain management
Project management
Material handling
Leadership
Critical thinking
Problem solving
Process improvement
Design process
Communication skills
Data analysis
Research
Decision making
Prioritization
Root cause analysis
Autodesk AutoCAD
VBA
SQL
RCM
Lean manufacturing
Recruitment
Mental health

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