Software Dev Engineer II, MMPO

Amazon Inc.

Factoria (WA)

On-site

USD 144,000 - 194,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking an experienced SDE to build and optimize the middle-mile transportation planning platform. You will design scalable web services, model planning algorithms with researchers, and collaborate with stakeholders to deliver high-performance, cost-efficient solutions.

You'll work on multi-modal optimization problems, partner with teams across air, rail and ocean transport, and mentor other engineers while focusing on operational excellence and

Qualifications

  • 3+ years of professional software development experience.
  • 2+ years of design or architecture experience for new or existing systems.
  • Experience programming with at least one programming language.
  • 3+ years of full SDLC experience.
  • Bachelor's degree in computer science or equivalent.
  • Experience with generative AI to improve workflow efficiency.
  • Ability to recognize opportunities where generative AI could enhance products or workflows.

Responsibilities

  • Design and implement highly available web services with senior engineers, product managers and business stakeholders.
  • Develop and model new planning-related algorithms with research science.
  • Convert a problem statement and requirements into a scalable and extendible design with tasks.
  • Write quality code as part of implementing designs and deliver them on time.
  • Mentor other SDEs and assist in hiring.

Skills

Software development
System design
Programming languages

Education

Bachelor's degree in computer science or equivalent

Tools

Generative AI tools
Prompting and evaluation

Job description

Job ID: 10572177 | Amazon.com Services LLC

The Middle-Midle Transportation Technology team builds the underlying technology that powers Amazon's middle-mile network across the globe. The Planning and Network team owns systems that take demand for middle-mile freight movements for Amazon and produces a plan that meets demand and supply constraints while minimizing costs and manual effort required to generate vehicle movement plans along with optimizing the often backhaul movements. This is a unique opportunity to work on advanced NP Hard problems/Algorithms that saves Amazon MM of $ in freight movements. The ideal SDE will be instrumental in shaping the product direction, developing and tuning algorithms with research scientists, collaborate with stakeholders to model the planning components, and develop scalable systems that help us build a planning flywheel - highest performance, at the lowest cost, and with the best delivery experience. You will work with other tech teams to model and consume inputs such as carrier supply, cost/rates, transit times, and distances in an efficient and automated fashion. The work done on the team will help our transportation systems scale beyond just road transportation to Air, Rail and Ocean to build a truly multi-modal global transportation network.

Key job responsibilities
  • Work closely with senior engineers, product managers and business stakeholders to design and implement highly available web services
  • Work with research science to develop and model new planning related algorithms
  • Convert a problem statement and requirements into a scalable and extendible design along with tasks
  • Write quality code as part of implementing aforementioned designs and deliver them in time
  • Assist directly and indirectly in the continual hiring and mentoring of other SDEs

The ideal candidate will be passionate about solving complex optimization problems and architecting and implementing highly-available distributed systems. You obsess about the customer experience and the needs of the business. Finally, you have a strong focus on operational excellence and take pride in building maintainable systems at scale.

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
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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 - 143,700.00 - 194,400.00 USD annually

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