Sr Solutions Architect, HCLS
Amazon
Description
AWS Sales, Marketing, and Global Services (SMGS) 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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical depth and strong interpersonal skills to join SMGS. You will partner some of the worlds largest companies, to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services. In collaboration with account managers, you will assist in driving growth across a small set of global customers in your defined country. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mind-share and broad use of AWS within enterprise customers. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
Here are some other qualities we are looking for:
At AWS, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
Enjoy working with large, global customers as an active contributor to a diverse team. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of enterprise customers.
Have a strong understanding of large scale computing solutions. The ideal candidate will have past experience working as a systems or support engineer. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.
Key job responsibilities
· Ensure success in building and migrating applications, software and services on the AWS platform
· In partnership with the account management team, formulate and execute a strategy
· Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
· Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS
· Capture and share best-practice knowledge amongst the AWS solutions architect community
· Author or otherwise contribute to AWS customer-facing publications such as whitepapers
· Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
· Act as a technical liaison between customers, service engineering teams and support
About the team
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 (CORE) and AmazeCon (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
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field
- Experience in IT development or implementation/consulting in the software or Internet industries; experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Knowledge of AWS services, market segments, customer base and industry verticals
Preferred Qualifications
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Experience in infrastructure architecture, database architecture and networking
- Experience migrating or transforming legacy customer solutions to the cloud
- Familiarity with common AI/ML and GenAI lifecycles
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