The FaST (Fashion Subsidiary Tech) CS-Tech team owns Customer Service support, tooling, automation, and Fraud & Abuse prevention charters for our online fashion retailers, 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 for their entire journey at Shopbop.com and Zappos.com.
On the CS-Tech team, you’ll get to build critical services, multi AI agentic workflows that impact every Shopbop and Zappos customer, and the Customer Service Agents. You get a chance to 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 Customer Service and Fraud Prevention teams to ensure we build the right tooling and enable highly impactful scenarios. Come to work with us and help define the next generation customer 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 We’re building an environment that celebrates knowledge sharing and mentorship. Our team truly enjoys 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. You get to use AI tools to augment work while also building AI agents for customer service scenarios
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
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- 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