招聘
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
AWS is building a new team focused on driving customer adoption of AWS security services - and we're looking for a senior technical specialist to help define what great looks like from day one.
Customers are moving fast, especially into generative AI and agentic architectures, and they need help doing that securely. At the same time, they want to get more from the AWS security services they already own and adopt new ones with confidence. That gap is where this team lives.
As a Sr. Solutions Architect on the Security Services team, you will work directly with enterprise customers to design, adopt, and operationalize AWS security services at scale. You won't just advise - you'll own the technical relationship, architect the solutions, and stay engaged through adoption. You'll work alongside a paired security services seller as a technical and commercial unit, and you'll bring what you learn back to AWS product teams to shape the roadmap.
This is a founding role on a new team. The playbooks don't exist yet. You'll help write them.
- Key job responsibilities
- Own the end-to-end technical relationship with a portfolio of enterprise customers, guiding their adoption of AWS security services including Security Hub, Guard Duty, Amazon Inspector, and Amazon Detective
- Architect solutions to complex security problems where the technology strategy is not yet defined - helping customers move from intent to implementation with confidence
- Work as a paired technical and commercial unit with a security services seller, driving service adoption and measurable customer outcomes together
- Help customers secure their generative AI and agentic architectures, meeting them where they are and helping them move faster without sacrificing their security posture
- Serve as the voice of the customer back to AWS security product teams - surface field patterns, identify gaps, and translate that feedback into clear requirements that shape the roadmap
- Build and maintain relationships with AWS Partners to design and deliver architectures that combine AWS-native security services with best-in-class partner solutions
- Produce thought leadership that scales your impact beyond individual engagements - blogs, reference architectures, workshops, and conference sessions that help customers and the field community
- Partner with AWS Account Teams and security strategy roles to connect service adoption to broader security transformation at customers
A day in the life
No two days look the same in this role. You might start the morning reviewing a customer's detection and response architecture - mapping out how Security Hub and Guard Duty fit into their existing tooling and where the gaps are. Mid-morning, you join a call with your paired seller to align on an account plan for an enterprise customer consolidating third-party security tooling onto AWS. You draft a few notes on a pattern you've seen across three customers that the product team should know about.
In the afternoon, you run a workshop with a customer's security engineering team - walking through how to operationalize Security Hub findings at scale. You wrap the day reviewing a draft reference architecture you've been building for securing agentic workloads, something you plan to publish as a blog post next month.
Through all of it, you're doing the work directly. You're the technical expert in the room, and customers know it.
About the team
The team's mission is to accelerate customer adoption of AWS security services by pairing deep technical expertise with a commercial go-to-market motion alongside security services sellers.
You will work closely with AWS Account Teams, security strategy roles, and AWS Partners to help customers build confident, secure operations on AWS. The customers you serve are navigating real complexity - they're adopting generative AI, rethinking identity and access models, and trying to keep pace with a threat environment that evolves daily. This team exists to help them do all of that on AWS.
Diverse Experiences
AWS 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.
Inclusive Team Culture:
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
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.
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
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience securing generative AI or agentic workloads, or a strong point of view on how security models need to evolve for AI-native architectures
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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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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