招聘
AWS is looking for a Senior Solutions Architect to join our Caribbean team, working with enterprise customers across the full breadth of their cloud journey. You'll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward.
We value practitioners—people whose judgment is grounded in real-world experience building and shipping solutions. You'll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business—you'll bring curiosity, technical depth, and a bias for action.
You'll be part of the AWS Caribbean Solutions Architecture team. We work with enterprise customers across industries—helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. We learn from each other, support each other's growth, and celebrate diverse perspectives. Whether you're presenting to executives or coding alongside engineers, you'll find a team that values both technical depth and human connection.
- Key job responsibilities
- Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads
- Work hands-on with customer teams—building prototypes, proofs of concept, and production-ready architectures together
- Assess legacy applications and databases, and co-create practical modernization roadmaps that reduce technical debt and enable innovation
- Guide customers through cloud migrations—helping them move workloads efficiently and securely
- Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences
About the team
AWS Global Sales (AGS) aims to deliver the highest level of sales support to our customers. Is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Join dynamic and diverse AWS Sales team, focused on large enterprise's digital transformation.
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 we strive for flexibility as part of our working 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 (CORE) and Amaze Con (gender diversity) 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
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Experience leading complex technical initiatives involving cross-functional collaboration, with strong communication skills to convey technical concepts to diverse audiences
- Understanding of common architectural patterns and cloud-native design principles
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning
- Curious & have experimented with AI and emerging technologies-and how they can augment human builders and drive business outcomes-with experience helping customers evaluate or implement AI/ML solutions
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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