招聘
Want to transform the way people enjoy music, podcasts, radio, and audiobooks? Then come join the team that delivers the global audio experience on Alexa. If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work across internal teams along with the world’s top music partners to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities.
There is a universe of tens of millions of distinct audio content that is available across streaming services. Using your voice, and timely proactive suggestions are the easiest ways to get to what you want. Alexa makes this magical for customers: ask any Alexa-enabled device to play your favorite song, podcast, book or a station, and Alexa will find the right content for you and play it. We also support being able to control and manage playback across multiple devices, and movement of media playback across them. It is still Day 1 for the audio experiences, and we're looking for a leader to help us make it even better.
On the Alexa Audio Team, you will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of state of the art products that will be used every day by people you know. No matter what the role, we’re looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history.
In this role you’ll have independent technical ownership on new customer features and supporting architecture on a day to day and week to week basis. You’ll learn new in-demand skills like building voice control interfaces and scalable API platforms interfacing with Generative AI that will be highly valuable as you grow your career at Amazon and beyond. You’ll work directly with Product Management and Design to refine the customer experience for Alexa Audio products. You’ll join a unique team in the Alexa organization with our own culture – we move fast to deliver new great features for customers and have a ton of fun doing it.
Come join us as we build the Alexa Playback Execution And Reliability across Linked devices (PEARL) team for Audio using innovative technologies.
Key job responsibilities
System Development engineers troubleshoot, debug, evaluate and resolve computer-identified alarms, make feature enhancements, bug fixes, systems management, perform software deployments and migrations, host management and automate routine operational tasks. The position requires a combination of strong troubleshooting, technical and communication skills and includes a mix of on call and operational tasks and involves small to medium level software development work. Responsible to develop tools and automations to achieve human free operations. They use the right tool for the job, and modify software in a way that leverages the overall system architecture. If you have a strong Application Support background, are interested in rapid growth and have passion to develop tools at large scale, this is the opportunity for you.
A day in the life
We collaborate across disciplines. You will have the opportunity to work closely with product managers, UX designers and researchers, and business intelligence engineers to innovate, measure, analyze and refine the experiences we deliver to millions of customers across the planet on a daily basis. Our roles are all well defined, but we encourage individuals to cross boundaries and learn from each other.
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
- Experience with Linux/Unix
- 3+ years of systems engineering experience
Preferred Qualifications
- Experience with distributed systems at scale
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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually
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关于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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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