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Amazon
Amazon

Work hard. Have fun. Make history.

Software Development Engineer II, , Payment Methods Team

직무엔지니어링
경력미들급
위치Vancouver, BC, CAN
근무오피스 출근
고용정규직
게시2주 전
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Do you want challenge yourself to work on a team with high impact, complexity, and critical availability? Payments may be what you are looking for! Global Payments Tech supports dozens of countries, payment methods, and serves billions of requests daily.

We build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We innovate to improve customer experience across the globe, with support for currency choice, in-store payments, pay on delivery, credit and debit payments, seller disbursements, gift cards, and many new exciting and challenging ideas are in the works.

Key job responsibilities
Define, design, and implement highly available multi-tier distributed software applications.

Own the validation and rollout of complex features in Tier1 production systems, while meeting strict requirements for latency, availability, and scalability.

Must be able to effectively collaborate in a fast paced environment with multiple teams in a large organization.

Contribute to the long term architectural evolution of core payments services, though both internal designs, and aligning away team work with long term platform vision.

Provide Tier1 on-call production support for payment platform services.

Drive AI adoption and efficiencies across all steps of the development lifecycle.

A day in the life
You will design, build, and improve the backend services that support Amazon’s payment platform. Your work will focus on writing/reviewing code, reviewing designs, and contributing to the evolution of the three Tier1 services owned by the team.

You will collaborate with engineers, product partners, and client/dependency teams to understand requirements, clarify edge cases, and ensure new features behave predictably across systems. You will participate in standups, design reviews, and code reviews, gaining exposure to the operation of large‑scale distributed systems.

You will refine components of the system architecture, simplify interfaces, and improve the performance and reliability of critical payment systems. As part of the team’s operational rotation, you will monitor service health, investigate issues, and learn the practices required to maintain high‑availability systems. On‑call responsibilities are shared across the team, with support provided as you build the skills needed to diagnose and resolve production issues.

About the team
Payment Methods Team sits within Amazon’s Global Payments Tech organization which serves as a central technology group for enabling payments across Amazon businesses. PMT owns three Tier 1 platform services used by retail checkout, subscriptions, and other digital services to enable highly salable and reliable payments for customers. Our services are invoked dozens of times for every Amazon checkout session worldwide, handling billions of requests a day.

Our team prides itself on raising the bar on operational excellence, availability, and an engaging team culture.

Where will you be challenged? Scalability, latency and availability requirements, and architectural complexity.

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. 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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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

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge