招聘

Software Development Engineer, Loss Prevention Tech, WWOS Corporate
Dublin, D, IRL
·
On-site
·
Full-time
·
1mo ago
必备技能
Machine Learning
Have you ever wanted to solve a mystery or be part of solving a case? Are you fascinated by detective stories or crime shows on TV? Do you love the challenge of building innovative software products (leveraging innovative Machine learning models), that can help solve complex multi-billion retail problems?
Do you have a strong technical background, yearn for a high visibility role and a team that is fun, supportive and invests in your growth and well-being? Are you a natural leader that sets high standards and love to improve processes and innovate? If so, working on the Loss Prevention Tech team as a Software Development Engineer is the place for you!
We’re looking for an engineer with deep expertise in designing, developing, and maintaining software. This role will be expected to drive the software development process as well as mentor fellow team members. The Loss Prevention tech team supports our field LP, security and operations teams by building scalable global tech products. Our goal is to develop "intelligent" scalable systems, web interfaces, reporting, metrics and analytics that drive global investigations, establish trend analysis and build "smart" Loss prevention workflows that help solve multi-million dollar problems related to organized retail crime.
- Key job responsibilities
- Collaborate to define the system architecture, owning documenting and breaking down work for the team to implement individual components.
- Learn and implement new technologies (e.g. LLM) quickly.
- Be responsible for technical problem solving, meeting product objectives, and developing best practices
- Write high-quality, efficient, testable code in a modern object-oriented language.
- Mentor other developers.
- Contribute to planning, design, implementation, testing, operations, and process improvement as the lead of a Scrum team.
- Own end-to-end architecture of scalable large projects, participating in an on-call rotation.
- Track and report on metrics which are key performance indicators, allowing performance improvements so that the desired outcomes are achieved to plan and in a timely manner
- Troubleshooting and responding to errors, bug fixes and issue tickets
- Ensure all programs comply with Amazon Info Sec standards
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
We believe that building a culture that is welcoming and inclusive is integral to people doing their best work and is essential to what we can achieve as a company. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace. Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
Basic Qualifications
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
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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