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FireTV Overview: FireTV is Amazon's entertainment platform that revolutionizes how people consume television content. Through innovative features like voice-enabled search, live TV streaming, and AI-powered content discovery, FireTV reaches millions of customers worldwide. The platform combines traditional broadcasting with modern streaming technology, offering both search capabilities powered by advanced AI/ML technologies and comprehensive live TV experiences that transform how viewers interact with their television.
As a Software Development Engineer at FireTV, you'll have the opportunity to work on latest technologies that directly impact millions of users' daily entertainment experiences. Whether you're developing sophisticated search algorithms using Large Language Models or building scalable solutions for live TV streaming, you'll be at the forefront of innovation in digital entertainment, working in a fast-paced environment with opportunities to grow and make significant technical contributions.
- Key job responsibilities
- Design and implement scalable software solutions for search and content discovery features using modern technologies including ML and LLMs.
- Own end-to-end development cycles from design through production deployment, including A/B testing and performance optimization.
- Develop and enhance retrieval/ranking algorithms and personalization features to improve content discovery.
- Build and maintain highly available distributed systems that can serve millions of users.
- Collaborate with cross-functional teams to integrate various FireTV services with Alexa and other Amazon platforms.
- Participate in architectural decisions and technical design reviews.
- Work with AWS technologies (EC2, S3, EMR, SQS, SNS, etc.) to build robust and scalable solutions.
- Drive innovation through prototyping and implementing new features that enhance user experience.
- Contribute to the team's technical excellence through code reviews, documentation, and mentoring
- Work in an Agile environment to deliver high-quality software that meets customer needs
- Analyze and optimize system performance to ensure optimal user experience
- Stay current with industry trends and best practices in search technology and content delivery
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
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually
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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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