채용
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.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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