招聘

Deployment Execution Engineer, Robotics Delivery & Packaging Innovation
London, GBR
·
On-site
·
Full-time
·
1w ago
Amazon is seeking a business-oriented Deployment Execution Engineer to deliver complex logistics process automation and storage initiatives for the continued expansion of our UK fulfilment network.
Ideal candidates will have exposure to automation deployments combined with a strong technical problem-solving ability. 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 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 automation technologies including conveyance, sortation and robotics systems
- 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
- Experience with implementation of integrated automation solutions, such as complex material handling systems, high speed packaging lines and manufacturing lines
- Experience providing technical guidance for large-scale industrial engineering projects
- Bachelor's degree or above in Industrial Engineering, Mechanical Engineering, or other STEM field
- Experience with project delivery
- Experience communicating technical details verbally and in writing
- Experience managing competing priorities across a wide range of stakeholders
- Strong problem-solving abilities
Preferred Qualifications
- Experience managing external vendors, distributors, partners or learning providers
- Experience in project management
- Experience with robotic deployments in warehouse or fulfilment environments
- Background in logistics, supply chain or operations
- 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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关于Amazon

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+
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 · Cybersecurity Analyst L2
0份报告
$234,132
年薪总额
基本工资
$93,653
股票
$117,066
奖金
$23,413
$163,892
$304,372
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
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