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Software Development Engineer, Middle Mile P&O

Job in Vancouver, BC, Canada
Listing for: Amazon
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 114800 - 191800 CAD Yearly CAD 114800.00 191800.00 YEAR
Job Description & How to Apply Below
Overview
The Route Execution Optimization (REO) team in Middle Mile Planning and Optimization (MMPO) is seeking a Software Development Engineer II to build systems that automatically respond to transportation network disruptions—weather delays, facility closures, equipment failures, and driver constraints. You will design intent-based automation that orchestrates optimal route corrections while maintaining safety, compliance, and efficiency.

This role offers the opportunity to solve complex distributed systems challenges at massive scale, affecting hundreds of thousands of loads weekly, directly reducing operational costs and improving driver safety across Amazon's middle-mile transportation network.

Responsibilities

Design, develop, and maintain scalable distributed systems that process millions of transportation events daily

Build optimization algorithms and machine learning models for forecasting, scheduling, and route planning

Collaborate with scientists, product managers, and operations teams to translate business requirements into technical solutions

Write clean, maintainable code with comprehensive testing and documentation

Participate in code reviews and contribute to engineering best practices

Mentor junior engineers and contribute to team knowledge sharing

Investigate and resolve production issues, ensuring high system availability

Drive continuous improvement in system performance, cost efficiency, and operational metrics

About the team
Middle Mile Planning and Optimization (MMPO) is an integral part of Transportation Tech Services (TTS), serving as the primary engine for efficiency and cost savings in surface transportation. MMPO optimizes resource allocation, demand forecasting, route planning, and network equipment balancing while minimizing CO2 emissions.

The Route Execution Optimization (REO) team within MMPO focuses on bridging the gap between planning and execution. While MMPO's systems optimize the network days in advance, REO ensures plans remain executable when real-world disruptions occur—weather delays, facility closures, equipment failures, and driver constraints. REO builds intelligent automation that responds to disruptions affecting hundreds of thousands of loads weekly, transforming manual interventions into automated corrections that preserve safety, reduce costs, and enable continuous optimization.

Basic Qualifications

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience programming with at least one software programming language

Preferred Qualifications

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent

Master's degree in Computer Science, Operations Research, or related field

Experience with optimization algorithms, operations research, or machine learning

Knowledge of AWS services (EC2, S3, Lambda, Dynamo

DB, etc.)

Familiarity with transportation, logistics, or supply chain domains

Strong problem-solving skills and ability to work in ambiguous environments

Excellent communication and collaboration skills

Experience with agile development methodologies

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 (Use the "Apply for this Job" box below). 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being.

We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver -  -  CAD annually

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