招聘

Software Development Engineer II, FaST (Fashion Subsidiary Tech)
Madison, WI, USA
·
On-site
·
Full-time
·
1mo ago
The FaST (Fashion Subsidiary Tech) Purchase & Post owns Cart, Checkout, and payment processing for subsidiaries Shopbop and Zappos. As an Amazon subsidiary, we leverage best-in-class technology from the inside; analyze and iterate existing and new opportunities, and scale them to continually improve the customer experience from providing delivery estimates to fulfillment (and even returns).
On the Purchase & Post team, you’ll get to build critical services that impact every Shopbop and Zappos customer, work directly with stakeholders, and take responsibility for scoping projects, completing design, and building systems for launch. You will directly support our internal stakeholders in Fashion & Fitness Subs Finance to ensure we build the right tooling. You'll also help to bring customers the payment options they prefer and the right cart and checkout experience. Come to work with us and help define the next generation experiences for the fashion-obsessed!
Work/Life Harmony
Our team puts a high value on work-life harmony. Our team is located on-site in Madison, WI. We generally keep core in-office hours from 9am to 5pm, M-F.
Mentorship & Career Growth:
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.
We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities
In this position, you'll use a variety of tools to build, provision, and test a variety of API's and services with a heavy lean towards server-side work.
A day in the life
You start the day by finishing up the work you had in motion yesterday and pushing a CR for review. You notice a CR a teammate has submitted and provide them with feedback, suggesting a small change based on your knowledge of the system they are working with. At daily stand-up, you provide an update on your overall project, report what you’re picking up today, and point out to a teammate that they should connect with a stakeholder to unblock themselves. After standup, you see someone has approved your CR so you kickoff the process to push code to production. You head over to a meeting discussing the teams initiatives to reduce technical debt, calling out some process improvements you believe would be helpful in stopping it from emerging in the first place and ensuring they are filed correctly to be evaluated for next sprint. After that, you head back to your desk where you finish your day with some heads-down time working on the stories that you had mentioned picking up at standup this morning.
About the team
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to work on really cool services, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WI, Madison - 143,700.00 - 194,400.00 USD annually
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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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