채용

Deployment Execution Engineer, Robotics Delivery & Packaging Innovation
London, GBR
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On-site
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Full-time
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5d ago
Amazon is seeking an experienced business-oriented Deployment Execution Engineer to deliver large-scale and highly complex logistic process automation and storage initiatives for the continued expansion of our UK fulfilment network.
Ideal candidates will have extensive experience with automation deployments combined with a strong technical problem-solving ability – often occurring across multiple sites and technologies. The role requires a holistic view of all aspects of an Amazon Warehouse (Fulfilment Centre, Inbound Cross-Dock, Sortation Centre or Distribution Centre) while focusing on its automation technologies and storage solutions. This person will be responsible for evaluating and delivering state-of-the-art material handling systems and robotic innovations while coordinating internal teams and external contractors in order to effectively launch new automated buildings and conduct expansions in existing sites.
Amazon’s culture encourages an entrepreneurial approach and expects engineers and managers alike to take a high level of ownership in solving complex problems in a fast-paced environment.
The role will be based in the United Kingdom with 60% of time traveling mainly around the country and with potential requirements in the EU.
- Key job responsibilities
- Lead evaluation and delivery of large-scale automation technologies including conveyance, sortation and robotics systems, often occurring across multiple sites at a time
- Coordinate cross-functional teams including internal stakeholders and external contractors to ensure successful project delivery
- Support the launch of new automated buildings and expansions in existing sites
- Evaluate and implement state-of-the-art material handling systems and robotic innovations
- Ensure deployments are delivered on time, within budget, and to Amazon's quality standards
- Provide guidance and troubleshooting for complex automation deployments
- Drive continuous improvement initiatives to optimize deployment processes
- Collaborate with operations, construction, and vendor teams throughout the project lifecycle
A day in the life
You will be interacting daily with a wide variety of functional teams and individuals at all levels of the organization and in multiple time zones. You will conduct multiple weekly meetings with internal teams, stakeholders and vendors to execute deliverables. You’ll be liaising with subject matter experts from across the organization, diving deep in the technologies we deploy; you’ll build on these relationships to refine and improve our processes. No two days will be the same in our fast-moving environment yet you’ll discover endless opportunities to grow along the way as part of a tight-knit and supportive team.
About the team
Robotics Delivery & Packaging Innovation is a diverse and multi-talented team with a proven track record of overcoming challenging technical problems to deliver Amazon’s leading-edge robotics technologies in its fulfilment, transportation, and delivery network across the world. Our high-performing team blends engineering know-how, problem solving, curiosity, innovation, leadership, and effective communication to deliver positive results for our customers.
Basic Qualifications
- Bachelor's degree in Mechanical, Electrical, Industrial Engineering, or related STEM field
- Experience in oral and written communication
- Experience managing competing priorities across a wide range of stakeholders
- Extensive experience in project/program delivery or deployment execution
- Knowledge of automation technologies, material handling systems and robotics
- Strong problem-solving abilities
Preferred Qualifications
- Experience managing external vendors, distributors, partners or learning providers
- Experience with robotic deployments in warehouse or fulfillment environments
- Background in logistics, supply chain or operations
- Project management experience or certification
- Experience with Amazon Robotics or similar automation platforms
- Deep understanding of warehouse operations, linked systems and fulfillment processes
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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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
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