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Software Development Engineer, Middle Mile P&O

Amazon - Vancouver, British Columbia, CAN

Posted Apr 29, 2026

Benefits

Parental leave
6 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
6 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Offered From the posting source checked Jun 20, 2026
  • Surrogacy assistance: Not verified
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
Not verified
Childcare support
Offered From the posting source checked Jun 20, 2026
Learning budget
Not verified
Verification
Source-linked checked Jun 7, 2026
Salary
CAD 115K-192K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Development Engineer, Middle Mile P&O Vancouver, British Columbia, CAN 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'll 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. Key job 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

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