
Work hard. Have fun. Make history.
Software Development Manager, AWS WorkSpaces Applications
薪酬
$184,900 - $250,200
福利待遇
•医疗保险
•401k
•股权
•弹性工作
•育儿假
•心理健康支持
必备技能
Engineering team management
Software engineering
System architecture
Distributed systems
Code review
As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges.
Do you want to design, build and operate services that are used by millions of customers every day? Are you passionate about architecting highly available and large-scale services? If the answer is yes, the Work Spaces Applications team wants to talk with you. Work Spaces Applications is an AWS End User Computing (EUC) service that enables SaaS application streaming or delivery of virtual desktops. Work Spaces Applications is a rapidly-growing service that offers customers incredibly scalable and robust application and virtual desktop streaming.
We are looking for an experienced development leader to lead a team of software development engineers to build reliable, highly scalable distributed systems. You will work closely with product management and other business partners to define strategy and visions, clarify requirements, and lead development teams from concept through delivery and subsequent operation. You will have regular communication with senior management on status, risks and product strategy, requiring strong written communications. You will be a thought leader, but you don't just know how to solve the problem, you prove it by leading team to build the solution. Last but not the least; you will have a high bar for code quality and passion for design and architecture
We are growing at an incredible pace with a rapid increase in adoption and usage. As a result, we offer a unique opportunity to solve some of the most interesting problems associated with providing secure, reliable, fast and highly scalable solutions. You will get to build on top of AWS utilizing industry-leading patters on EC2, S3, DynamoDB, Kinesis, Lambda, APIGateway, etc. We strive to deliver innovating solutions and features that enable millions of concurrent streams, faster than human perception end to end streaming latency, lowest possible cost per streaming session, secure and isolated streams for best compute and graphics utilization, high fidelity graphics, broad server OS selection as well as client OS footprint. We are looking for a leader who believe in providing world-class application streaming experience for AWS Enterprise and ISV customers while leading the AI-native transformation for the team.
Key job responsibilities
- Lead and mentor a team of engineers responsible for designing, developing, delivering and operating secure, reliable and scalable services for Work Spaces Applications.
- Shape the roadmap that explains how you will be evolving the service to meet customer and technology needs.
- Drive the AI-native transformation, collaborate across teams and functions as necessary to achieve your goals.
- Analyze operational metrics and implement best practices and processes to minimize engineering churn and improve organizational productivity.
- Foster a culture of innovation, continuous learning, and operational excellence, influencing within the team and beyond.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture:
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and Amaze Con conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems 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
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, WA, Seattle - 184,900.00 - 250,200.00 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
10条评价
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%
推荐率
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
L6
L3
L4
L5
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
面试评价
6条评价
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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