招聘
必备技能
Machine Learning
The Amazon Finance Automation Team is looking for an experienced Software Development Manager to play a key role in building the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, relishes working with data, enjoys the challenge of highly complex business contexts that are typically being defined in real-time.
The ideal candidate will be passionate about leading a team driving the next generation of scalable and fast distributed systems on industry leading technologies.
A Software Development Manager at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, software development, Machine Learning, and object oriented programming. Coming to Amazon gives you the opportunity to work on a development team in one of our many rapidly growing organizations.
Along with complex problems to solve, we provide you a world class work environment and a chance to work with the industry's most talented team members in the data engineering and software development space. You will lead on how to design, build, test, and implement scalable solutions.
- Key job responsibilities
- Working collaboratively, shape the vision and strategy for solving business problems spread across retail and other cross systems outside of retail
- Design scalable, secure systems that handle sensitive financial data.
- Mentor, grow, and share the journey to deliver with quality.
- Deep dive, develop and deliver systems that are highly maintainable. Technical leader for the team with the ability to deliver against all odds.
- Data driven approach for making right architecture decisions, managing business priorities
- Drive adoption of emerging technologies including agentic AI and LLMs
- Influence automation strategy across the organization
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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
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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