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트렌딩 기업

트렌딩 기업

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채용Amazon

Application Engineer, AWS Quick

Amazon

Application Engineer, AWS Quick

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

3d ago

We are seeking a highly technical Application Engineer with strong expertise in automation to design, evaluate, and implement scalable automation solutions across enterprise systems. * Among other tasks, this role is responsible for creating, reviewing, and validating Process Design Documents (PDDs) to ensure they are complete, technically accurate, and suitable for automation. * The engineer will assess processes for automation feasibility, identify gaps, edge cases, exception scenarios, and system dependencies, and guide teams in developing high-quality, automation-ready PDDs. * The engineer will translate process requirements into technical workflows, build and deploy automations, integrate APIs and external systems, and ensure solutions are reliable, maintainable, and production-ready. * This role requires strong analytical skills, hands-on automation development experience, and the ability to define and enforce best practices for automation design and documentation. Tools & Technologies: * The candidate must have hands-on experience with enterprise automation platforms such as Ui Path, Blue Prism (BP), Quick Automate, or similar workflow automation tools, including designing workflows, managing orchestration, implementing exception handling, and deploying and monitoring automations in production environments. * Strong proficiency in Python is required for developing custom automation scripts, integrating with REST APIs, processing and transforming data, and extending automation capabilities beyond native platform features. * Experience using Python libraries such as requests or httpx for API integrations, pandas for data handling, and logging frameworks for debugging and monitoring is essential. * The candidate should also be familiar with REST APIs, JSON, webhooks, Git for version control, Postman for API testing, and basic SQL for validating data and supporting automation testing and evaluation.

Basic Qualifications

  • Bachelor's degree or above in computer science, computer engineering, or related field, or MS degree
  • 2+ years of building production software experience
  • 2+ years of professional front end development experience

Preferred Qualifications

  • Experience in business analysis and functional roles, including requirements gathering, creating/deploying solutions to end users
  • Experience automating a complex process
  • Ui Path Certified Professional Developer certification

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

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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

3.4

10개 리뷰

워라밸

2.3

보상

4.2

문화

3.1

커리어

3.8

경영진

2.7

65%

친구에게 추천

장점

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

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

6개 면접

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