招聘
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. WW Selling Partner Services (SPS) is focused on making Amazon the safest and most trusted company on earth for customers, brands, and selling partners and the best place to build a successful business.
The Demand Planning & Workforce Intelligence (DPWI) team is building an AI-powered command center that transforms workforce management from reactive operations to intelligent orchestration. This transformation anticipates operational needs, automates resource allocation, and elevates support functions from tactical execution to strategic enablement. DPWI drives data-driven decision making across 30+ global Selling Partner Services operations programs, delivering mission-critical volume predictions and actionable planning insights through state-of-the-art data science solutions, centralized forecasting platforms, routing intelligence and automated predictive solutions at scale.
Within DWPI, The Routing Excellence (REX) team owns routing strategy and enablement for operations team. We serve as the strategic link between incoming demand and operational execution, using an intelligent routing framework to optimize case and task distribution. We transform the legacy processes to find the most optimized way to route a case to operations. We put systemic guardrails, alarms and mechanisms in place to enable routing governance and health monitoring. REX deploys routing objects and manages configuration within Amazon Connect-Hybrid, Customer Relationship Management (CRM), Paragon, and Intelligent Routing. REX supports over 16k routing queues and 1k+ Intelligent routing rules. These queues and routing rules are configured to ensure each customer contact reaches the right agent in the most efficient way possible.
We are seeking a talented Support Engineer to join the REX Team, where you will design, develop, test, and continuously improve routing processes and Infrastructure. In this role, you will collaborate across functions with Operations, Product Managers, Software Engineers, Business Analysts, Data Scientists, and Program Managers to deliver medium-to large-scale projects. You will analyze operational processes, develop technical requirements, and implement effective solutions through rule writing and tooling that leverages Amazon technology and services. As a Support Engineer IV, you'll have opportunities to embrace Agentic AI, ideate Products from scratch and partner with tech teams to optimize workplan development, testing, and automation.
- Key job responsibilities
- Engage with operations, product, tech, and program stakeholders to document requirements, create functional specifications
- Serve as a Subject Matter Expert for Amazon's internal Routing tools and capabilities, serving as the technical point of contact for your team
- Demonstrate comprehensive understanding of various features and systems, including their impact on workplans and orchestration, ensuring all components integrate and function as designed
- Develop and implement robust mitigation strategies to identify potential risks and prevent operational disruptions, ensuring seamless workflow deployment and performance
- Demonstrate strong analytical capabilities to investigate technical product and operational issues, developing straightforward yet effective solutions
- Perform deep dives, conduct Root cause analysis & troubleshooting. Take ownership of documentation, system improvement by identifying gaps, enhancing existing mechanisms & Tools
- Partner proactively with various Technology teams to understand their roadmap and assess its impact on routing strategy and operations
- Contribute to the evolution of program technology by gaining deep insights into different implementation strategies across our proprietary tools, internal applications, and service architectures. Leverage this comprehensive understanding to implement effective bug fixes and system improvements
- Work on proactive detection mechanisms to report dip in performance by building efficient metrics/monitors/alarms using our in-house tools
- Build tools and automations to optimize the system, simplify processes
Basic Qualifications
- 4+ years of software development, or 4+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- Experience scripting in modern program languages
- Experience in development or technical support
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or Master's degree
- Experience in root cause analysis and error correction, identifying changes to procedures and systems to implement long-term fixes and avoid repeating issues
- Experience communicating and presenting to senior leadership
Preferred Qualifications
- Knowledge of distributed applications/enterprise applications
- Experience in agile/scrum or related collaborative workflow
- Experience in Java/Perl/Python based automation
- Experience in design and implementation of efficient solutions through development of low to medium complexity code, focusing on API integration and development to leverage Large Language Models (LLMs)
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
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%
推荐给朋友
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
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
6次面试
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
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