热门公司

招聘

职位Amazon

Professional Services II - AMZ26721.4

Amazon

Professional Services II - AMZ26721.4

Amazon

Austin, TX, USA

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

SQL

AWS

Linux

Employer: Amazon Web Services, Inc.
Position: Professional Services II
Location: Austin, TX

Multiple Positions Available:

Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs. Providing technical guidance and troubleshooting support throughout project delivery. Collaborating with stakeholders to gather requirements and propose effective migration strategies. Acting as a trusted advisor to customers on industry trends and emerging technologies. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts. Work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. Driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. Managing implementation process and risks throughout the project. Ensuring adherence to best practices and optimizing performance. 25% of work time may involve domestic travel to carry out job duties.

(40 hours / week, 8:00am-5:00pm, Salary Range $163550 - $177600)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any field), Business Administration, or related field and 5 years of post baccalaureate progressive experience in job offered or as a Developer, or Engineer or in related occupation.

Must have at least 2 years of experience in the following skills:

  1. Architect cloud infrastructure solutions using computer, storage, database, networking, and security services.
  2. Supporting large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services.
  3. Design enterprise contact center solutions using Amazon Connect including omnichannel customer engagement strategies.
  4. Implement Natural language understanding conversational AI using Lex framework.
  5. Experience with programming languages including python, SQL and bash
  6. Troubleshooting systemic problems in a Windows, Linux, or Unix based environment

Preferred Qualifications

All applicants must meet all the above listed requirements.

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.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Amazon

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+

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 · Solution Architect L2

0份报告

$178,190

年薪总额

基本工资

$71,276

股票

$89,095

奖金

$17,819

$124,733

$231,647

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