Jobs

Software Development Engineer, AI Business Automation, Prime Video
Bengaluru, KA, IND
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On-site
·
Full-time
·
1mo ago
Prime Video is changing the way people watch movies, TV shows, and live sports, offering a vast library of content to a global audience. We are constantly innovating to enhance the customer experience, from how content is discovered and consumed to how we produce and deliver it at scale. Our mission is to be the premier entertainment destination, and we achieve this through a relentless focus on the customer, a passion for storytelling, and a commitment to technical excellence.
We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Software Development Engineer on this team, you will play a key role in building the next generation of business automation. You will collaborate with senior engineers, product managers, and scientists to design, develop, and deploy the agentic AI solutions that will power this transformation. This is an opportunity to get in on the ground floor of a new initiative, work with complex distributed systems, and see your contributions directly improve how Prime Video operates for our customers worldwide.
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Key job responsibilities
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Design, implement, and deploy high-quality, scalable, and reliable services for our automation platform.
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Collaborate with other engineers, product managers, and applied scientists to deliver on our product roadmap and solve customer problems.
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Utilize your problem-solving skills to tackle technical challenges in a large-scale distributed environment.
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Participate in the full software development lifecycle, including design reviews, code reviews, and operational support, while adhering to engineering best practices.
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Work backwards from business needs to build features and systems that directly impact our internal customers and improve efficiency.
This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of cutting-edge AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.
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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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
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.
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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
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
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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