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职位Amazon

Solutions Architect, Selling Partner Developer Services

Amazon

Solutions Architect, Selling Partner Developer Services

Amazon

Irving, TX, USA

·

On-site

·

Full-time

·

4d ago

Amazon Selling Partner API (SP-API) is the next generation suite of API-based automation functionality for Amazon's Selling Partners. We are looking for an experienced and self-motivated Solutions Architect, who possesses a unique balance of technical depth and customer-facing experience, to contribute to the development of the SP-API ecosystem and enable customers on their integration journey.

As a trusted advisor, you will help organizations—from start-ups to enterprise customers—understand opportunities to develop and integrate with Selling Partner APIs. You'll collaborate with external customers and internal teams to craft optimized, scalable, and secure solutions while providing thought leadership through documentation, public speaking, and reference architectures.

You should be comfortable building technical credibility with API Developers, Solution Architects, Product Managers and C-level stakeholders. The ability to link technology with measurable business value is critical to a Solutions Architect role. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.

  • Key job responsibilities
  • Accelerate business outcomes by developing technical products that accelerate secure API development journey such as reference architectures, SDKs and code samples
  • Provide technical support and architectural guidance directly to API developers looking to build with Amazon SP-API.
  • Write tutorials, white papers, and technical articles that educate SP-API developers on fundamentals of the API, integration best practices, and business opportunities
  • Work with customers to understand their API usage and their unmet needs, and provide feedback to internal development teams
  • Ensure existing and emerging SP-API solutions comply with Amazon acceptable use policies, security standards, and best practices
  • Act as a technical liaison between customer, support & engineering, and business teams

A day in the life
The Solutions Architect team supporting the Selling Partner API (SP-API) is responsible for helping external developers, ISVs, and partners successfully build API applications. In a typical week, you will engage with multiple customers—guiding them through API best practices, authentication workflows, and scalable integration patterns across Orders, Catalog, Fulfillment, and Notifications APIs. You will earn their trust and show them the art of the possible, educating partners on automating inventory management, streamlining order processing, and building seamless selling experiences. Partnering with internal Amazon teams, you'll craft reliable, compliant solutions that address our partners' unique business challenges.

About the team
Our global Solutions Architecture team enables technology Solution Providers to build on Selling Partner API. We bring value to the developer community by providing direct guidance and thought leadership on building scalable solutions using well-architected best practices.

Basic Qualifications

  • 2+ years of design, implementation, or consulting in applications and infrastructures experience
  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 7+ years of IT development or implementation/consulting in the software or Internet industries experience
  • Bachelor's degree

Preferred Qualifications

  • Experience working within software development or Internet-related industries
  • Experience with AWS technologies
  • Experience working with end user or developer communities
  • Experience with AI/ML technologies
  • Knowledge of generative AI, LLMs, and AI-powered automation solutions

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, TX, Irving - 131,300.00 - 177,600.00 USD annually

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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

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