Jobs

Software Dev Engineer II, FireTV Devices, Content & Advertising
Chennai, TN, IND
·
On-site
·
Full-time
·
1w ago
We are the changing the way customers consume the content on their Fire TV, Fire Tablet, and Alexa devices. Join us to positively impact the lives of millions of Amazon customers and add value to business.
You'll be at the forefront of designing technology that makes entertainment seamless and enjoyable. Our team is reimagining how people interact with content across Fire TV, creating intuitive experiences that become an integral part of daily life. By leveraging advanced technologies and collaborative innovation, you'll solve complex challenges across multiple systems that directly impact how millions of customers enjoy their favourite content.
- Key job responsibilities
- Design and implement scalable full-stack technologies supporting millions of global users
- Collaborate with Product, UX, and engineering teams to define product
- Develop high-quality software within a dynamic, team-oriented Agile environment
- Architect solutions that enhance user interaction and entertainment discovery
- Create innovative customer experiences utilizing Android, cloud services, and frontend/backend technologies
A day in the life
Your day will be filled with exciting technical challenges and collaborative problem-solving. You'll work alongside talented engineers, designing sophisticated software solutions that power user experiences across multiple platforms. Expect to dive deep into Android technologies, cloud services, and full-stack development, transforming innovative concepts into delightful user interfaces that millions will interact with daily.
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
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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
$1.5T
Valuation
Reviews
3.4
10 reviews
Work-life balance
2.3
Compensation
4.2
Culture
3.1
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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