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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Systems Development Engineer, Amazon Core Search

Amazon

Systems Development Engineer, Amazon Core Search

Amazon

Tokyo, 13, JPN

·

On-site

·

Full-time

·

1w ago

Amazon.com’s Search org is looking for an engineer to join our team. Search Operations is a follow-the-sun team distributed over two worldwide locations and is responsible for running one of the Internet's largest search infrastructures that powers Amazon’s retail websites.

The team is responsible for operational support for search front-end services and mitigating high severity events. We actively lead efforts to improve the customer experience by maximizing availability, quality, and performance.

We use an Operational Excellence (OE) program to continuously improve our processes. We partner with teams across Amazon Search to achieve highly-resilient systems, share knowledge, and automate away operational burden. We are strong advocates of a healthy work-life harmony, and continually focus on ensuring happiness within our team.

Key job responsibilities
Operational Excellence: We protect the Search customer experience and eliminate operational load. We mitigate, resolve high severity events and prevent their recurrence by owning the post-incident analysis process. We have a well established OE program to identify and drive resolution of cross-service and inter-service issues, review operational metrics, and investigate Service Level Objective (SLO) breaches.

Systems Development: We develop and own innovative software solutions. We automate incident response workflows, assist engineers on call with root-causing of high severity events, and present mitigation options. We constantly automate processes through our operational excellence program, pager load budgeting system, and top root causes evaluation.

On-Call Responsibility: The team operates a follow the sun on-call rotation with a frequency of one week on-call in every four to five weeks. The rotation is daytime only with handoffs between the Tokyo (Japan), and US west coast teams. The on-call represents Search during large scale events in production, leads and co-ordinates calls to quickly mitigate customer impact.

Career Growth: We care about your career aspirations. We want you to grow and progress in Amazon. We will facilitate your growth through an increase in scope of the projects you work on over time, and that can also include working on projects for partner teams to experience new, and interesting challenges.

Basic Qualifications

  • Experience in automating, deploying, and supporting infrastructure
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix

Preferred Qualifications

  • Experience with CI/CD pipelines build processes

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

Amazon 소개

Amazon

Amazon

Public

Amazon.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