招聘
The Algorithms team is responsible for developing algorithms & building infrastructure to host Science models that improves reading experience. We work across the diverse Kindle Technologies & latest Science technologies across teams to deliver the delighting experience for our customers on time. We look at optimizations for builders (engineers) in the software development lifecycle is and bring positive impact to large engineering community.
We own the E2E systems from the Algorithms, Model building, System Infrastructure, Dashboards for Author/Publishers, Data stores for Quality issues, Testing Team & maintenance of the same. We expect the Manager to be proficient with building Distributed systems & have good knowledge on ML model building to help grow the engineers. We will have Software Development Engineers, Quality Assurance Engineers & Business Intelligence Engineers/Data Engineers reporting to him/her giving the complete functional unit Ownership. You work very closely with the Science team.
We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.
You will participate in the planning and execution of technology projects and operational excellence initiatives. You’ll also manage and build a team of world class engineers in employing strong design and implementation practices. You will be participating in creating vision and influence product road-map across multiple stakeholders.
You will be expected to have an established background in building highly scalable systems and applications, great communication skills, strong people management skills and a motivation to achieve results in a fast paced environment. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.
Basic Qualifications
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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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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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