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Are you interested in shaping the future of movies and television and providing Prime Video Live customers? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the leading digital video services on the Internet today, and we're just getting started. The Prime Video Ads team owns services that integrate with ad decision systems, handle dynamic transcoding and stitching of ad creatives using client/server side ad insertion (CSAI/SSAI) across HLS/DASH/SS streaming protocols. We helped launch Thursday Night Football and NBA on Prime Video
Key job responsibilities
As an engineer in a relatively new team, you will have the opportunity to work on challenging problems in the low latency/high throughput domain of dynamic ad insertion for Live Sports and Video on demand.
Our architecture processes and handles high TPS (in millions) with obsessively high reliability and low operational overhead. The systems you design and build will be in the core path of video delivery to Prime Video customers worldwide. We leverage Amazon Web Services (AWS) technologies including AWS CloudFront, EC2, S3, DynamoDB, Lambda, SNS, SQS and internal AWS incubator technologies.
About the team
The team is chartered to design large scale systems to power the live and VoD streams with ads viewed by a massive audience daily, and you will help bring customers streaming video view experience to a new level.
Basic Qualifications
- 2+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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, VA, Arlington - 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
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Career
2.3
Management
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35%
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Strong benefits package
Flexible scheduling options
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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
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Stock
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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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