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Software Development Engineer SDE (Madrid), EUIC Core Search CX

职能工程
级别中级
地点Madrid, M, ESP
方式现场办公
类型全职
发布2周前
立即申请

The mission of the EU INTech Consumer Selection Discovery teams is to help customers find, evaluate and compare products they like, need or want. Our vision is that every customer should be confident to find the best product for their specific needs and preferences at the best value with very low effort. We believe that every customer and their situation require specific attention and so we build delightful shopping experiences that are tailored to the customer’s mission. We innovate from EU for the WW customer. To achieve that, we partner with WW business and tech teams from Softlines, Consumables and Hardlines and other platform/host teams. We don’t settle for an average 'one size fits all' and find the right CX for customers on each product family (PF) while delivering a cohesive sitewide CX

Key job responsibilities
We are looking for software developer engineers who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major components of the team, you will design, develop, deliver and support a variety of software applications in collaboration with a variety of roles and partner teams around the world. You will influence technical direction, drive operational excellence best practices and maintain quality on team deliverables. You will also have the opportunity to learn from high-performing software engineering teams and mentor junior members.

Remember, you do not have to tick every box to apply for the role. If you are excited about joining us and think you have what we are looking for, we would love to hear from you.

A day in the life
Our engineers work on various components of retail: Search, Detail Page, Cart, Checkout, Post-Purchase. We build end-to-end from idea, tech design to implementation and weblab experimentation. You will work directly with PMTs and UX designers on fleshing out software requirements.
While we own some components, do expect some away team work. For the services we own be prepared for DevOps work - we optimize for having CI/CD and maintain overall high OE bar.

About the team
We are a cross functional team focused on making Amazon Search more personal, intuitive, and useful for customers. Today, many shoppers still feel Amazon does not fully understand their preferences, and they often need to reapply the same filters and refinement choices each time they shop. Our team is working to change that.

We build search experiences that help customers find the right products faster by making preferences more visible, reusable, and relevant across shopping journeys. Our work spans areas such as fit, size, and other customer preferences, with the goal of creating a more consistent and helpful search experience across product categories. This means solving real customer problems at scale, improving how customers discover products, and reducing friction in the shopping experience.

The team works on complex, high impact problems that sit at the intersection of customer experience, product, science, and engineering. Engineers on the team collaborate closely with product managers, designers, and partner teams to turn ambiguous problem spaces into simple and effective customer solutions. We move quickly, value strong ownership, and enjoy tackling challenging problems that require both deep thinking and practical execution.

Our culture is collaborative, supportive, and focused on learning. We value people who are curious, thoughtful, and excited to build for customers in a space where there is still significant room for innovation.

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.

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

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

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

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

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge