Software Development Engineer, Middle Mile Disruption Management
Amazon - Vancouver, British Columbia, CAN
Posted Feb 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Development Engineer, Middle Mile Disruption Management Vancouver, British Columbia, CAN Do you want to be part of building the next-gen engineering system, global transportation network, intelligent ML algorithms, advanced GenAI solutions, and deliver packages to your doorstep? Are you up for this? Amazon's Middle Mile Transportation Technology team is chartered with solving complex problems with software that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business choices impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage advanced technologies in big data, machine learning, generative AI, and optimization techniques, and operate high volume, low latency, and high availability services. Oh, and we will need great mentors too (this is where you come in … read on) You'll develop an intelligent system powered by ML and GenAI to automatically resolve disruptions occurring in the real world. You will build and deploy machine learning models for predictive analytics and leverage generative AI for intelligent automation and decision support. You will regularly interact with our customers, and engineering and business stakeholders across senior levels.
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