招聘
必备技能
Java
Go
The Worblehat team is looking for a Software Development Engineer to join our mission-critical platform that automates operational compliance across Amazon's global fulfillment network. This unique role impacts millions through the Personnel Resource Manager (PRM) system, which automates eligibility verification and training policy compliance for over 1 million Associates across 2,000+ sites worldwide. Your code will directly protect associate safety by preventing non-compliant work assignments and enable intelligent workforce management decisions that keep Amazon's operations running smoothly.
You'll work across the full technology stack—distributed Java microservices, serverless Lambda functions, and integrations with dozens of partner systems including Learning Management Systems, HR platforms, and workforce management tools. Your solutions will balance technical constraints with business requirements across Training, Planning, Scheduling, and Staffing domains. Strong operational excellence is essential: your deployments affect real-time workforce operations at thousands of sites simultaneously, making reliability and thoughtful risk management core to the role.
- Key job responsibilities
- Design and develop maintainable, scalable software solutions across the full technology stack, from database schemas and Lambda functions to user interfaces and external integrations that support workforce compliance for over 1 million Associates globally.
- Collaborate with cross-functional partners including Regional Learning Managers and operations teams, translating operational requirements into technical solutions that advance PRM's capabilities
- Architect and implement solutions that balance complex technical requirements with business needs, translating between technical architecture and operational impact across multiple business domains.
- Contribute to the full software development lifecycle including scoping, design, coding, testing, deployment, and maintenance of mission-critical eligibility and compliance systems.
- Demonstrate operational excellence by identifying and resolving root causes of operational issues, while continuously improving monitoring systems and documentation for a platform supporting thousands of fulfillment sites worldwide.
A day in the life
Part of your day will go toward building features across the full stack: writing Java services, building Lambda functions, and jumping into frontend work. You'll review teammates' code and investigate performance issues. You'll have opportunities to meet with operations and learning teams to translate the problems they face into technical requirements that drive the technical strategy for the team.
Then, you may provide operational support for the team: troubleshooting issues affecting live sites, setting up monitoring, documenting technical decisions, and mentoring engineers when needed. The variety and direct impact on associate safety and site operations make the work engaging.
About the team
Our team recently expanded PRM to specialized fulfillment sites, automated site onboarding to accelerate deployment, and rearchitected critical components for better reliability. Looking ahead to 2026, we're scaling to new lines of business and building additional resiliency into the platform as it becomes even more essential to operations.
We're a collaborative team that values operational excellence and thoughtful technical design. You'll work alongside engineers who care about both shipping features and maintaining the reliability that thousands of sites depend on.
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
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
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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD 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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