채용
The AWS Usage Forecast Planning team partners with all AWS service teams to forecast, plan and build the world's largest Cloud infrastructure. Come make history!
We own software systems for generating a reliable, feasible and explainable Usage Plans for all the AWS Services. Our goal is to be able to simulate the usage plans with revenue, cost and efficiency implications in a faster, reliable and explainable way. Our main objective is to perform usage planning to create forecast which helps power all the AWS services physical infrastructure needs. As part of EC2 Core Platform, we aim to strike a nimble balance between capacity availability and utilization.
We provide usage forecasts for all AWS services and automate the planning of hardware to support our rapidly growing business. We apply advanced forecasting, data mining, and machine learning techniques to predict customer demand growth. We also build supportability models for foundational AWS services and identify their planning bottlenecks to serve ever-increasing customer demand. Combining the usage forecast and the supportability models, we generate plan of record that optimize across customer experience and hardware utilization. Our software drives the many billions of dollars in Cap Ex that AWS spends every year, and our projects help improve AWS utilization to reduce Cap Ex by 100s of millions of dollars every year.
On technology front, we use Scala, Java, Python, JavaScript, Lambda, DynamoDB, as well as other public AWS services and Amazon-internal tools. We are looking for someone who is passionate about data and problem solving. We don’t expect you to be an expert in-- or necessarily familiar with-- all of these technologies, but we expect you to be excited to learn.
We are looking for a Software Engineer to work in a full-stack development role.
Key job responsibilities
Our team owns a family of products that facilitate the generation, audit and publishing of Demand Plans that support the extensive AWS product portfolio. As a SDE, you will collaborate with research scientists and business subject matter experts to build and maintain a scalable planning platform, along with innovative models, that is capable of handling billions of time series data in real time. Our tools span Scala, Java, Python, JavaScript, Lambda, DynamoDB, and other leading-edge AWS services and tools. We don’t expect you to be an expert in (or be familiar with) all of the technologies listed above, but we want you to be excited to learn about them!
This position involves on-call responsibilities. We don’t like getting paged outside business hours, so we work to ensure that our systems are fault tolerant.
About the team
Our team puts a high value on work-life balance. While we do maintain core collaboration hours in the office, we also offer the flexibility to accommodate individual working styles. We've built a team culture that encourages knowledge sharing, and that celebrates openness, friendliness, collaboration, and the drive to "get things done".
We strongly believe in supporting new (and existing) members, and our team's broad mix of experience levels and tenures allow for a great deal of mentoring and learning opportunities. We care about your career growth; we do our best to assign projects to develop our team members into well-rounded professionals who are prepared take on tasks of increasing complexity as their career progresses.
- Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
-
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. -
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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
- 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.
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, WA, Seattle - 143,700.00 - 194,400.00 USD annually
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고

Software Engineer III - Infrastructure Platforms
JPMorgan Chase · Seattle, WA, United States, US

Hardware Sustaining Engineer
DigitalOcean · Seattle

Software Engineer
DocuSign · Seattle, Washington

Software Engineer, Commerce Engineering
Apple · Seattle, WA

Software Development Engineer II - Trust Decisioning Platform
Remitly · Seattle, Washington United States
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
Amazon vs. Walmart: This Isn't Even Close - The Motley Fool
The Motley Fool
News
·
1d ago
'Kevin' Review: Jason Schwartzman, Aubrey Plaza in Amazon Cat Cartoon - The Hollywood Reporter
The Hollywood Reporter
News
·
1d ago
Amazon's best weekend deals: Apple, Clinique, Yeti and more — save up to 70% - Yahoo
Yahoo
News
·
1d ago
Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results - Gizmodo
Gizmodo
News
·
1d ago