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Software Development Engineer, Middle Mile Scheduling Technology
Bellevue, WA, USA
·
On-site
·
Full-time
·
1mo ago
Compensation
$143,700 - $194,400
Benefits & Perks
•Team events and activities
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Generous paid time off and holidays
•Equity
•Healthcare
•Flexible Hours
Required Skills
TypeScript
JavaScript
PostgreSQL
Do you want to be part of building the next-gen engineering system, global transportation network, intelligent ML algorithms 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 latest technologies in big data, machine learning, 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 to calculate optimal schedules for freight movements around the world. You will regularly interact with our customers, science and engineering and business stakeholders across senior levels. You will participate in the planning and execution of technology projects and operational excellence initiatives. You’ll help junior engineers develop their skills, and continue to raise the bar and build the future of Amazon.
To accomplish this, you will be expected to have an established background in building highly scalable systems and applications, great communication skills, and a motivation to achieve results in a fast paced environment. You should be somebody who enjoys working on complex software systems, is customer-centric, and strives to build good software as well as making that software achieve its operational goals. Experience with building and operating web-based applications and/or web services-based applications, especially at massive scale, will be very applicable and helpful.
Come and see for yourself why we are one of the most admired company in the US, rated #1 in Innovation and
1 in Customer Service, and be part of our tradition of working hard, having fun and making history!
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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
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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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
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Culture
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Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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