招聘

Software Development Engineer, Amazon Finance Technology
Jersey City, NJ, USA
·
On-site
·
Full-time
·
1w ago
Are you passionate about building high-performance, scalable Governance, Risk, and Compliance (GRC) products that support Amazon's current and future growth? Are you excited to invent newer and simpler ways of building solutions leveraging AI/ML and automation? If yes, we have a challenging position in Amazon Finance Technology's GRC team for you.
Amazon Finance Technology's GRC team seeks a Software Development Engineer who can help create the next generation of distributed, scalable GRC systems. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts that are typically defined in real-time. We need someone to design and develop services that facilitate global GRC processes and provide holistic insights across the organization.
As a Software Development Engineer in the GRC team, you will solve various technical challenges and build highly scalable solutions to address unique problems for worldwide GRC teams. You will work on big data problems leveraging AWS services, design enterprise-scaled systems, develop and deploy highly scalable and reliable distributed services. You will tackle challenging, novel situations daily, leveraging AI/ML and automation to drive innovation in areas such as Integrated Risk Management (IRM), Automated Risk Management with AI/ML-Driven Assessment, Approval, and Mitigation, Global & Conversational Search UX for Holistic GRC Insights, Smart Editor, and more.
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. 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, NJ, Jersey City - 158,100.00 - 213,800.00 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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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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