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Startup Solutions Architect
Startup Solutions ArchitectAmazon Web Services, Inc. • San Francisco, California, USA
Startup Solutions Architect

Startup Solutions Architect

Amazon Web Services, Inc. • San Francisco, California, USA
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Do you like startups? Are you an expert in the development and practical application of deep learning and generative AI? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.

Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity : whether that’s capital, engineering resource, or experience. This is where you come in.

We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.

As a member of the Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.

As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1 : 1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities

Key Responsibilities :

Technical Leadership

  • Design and implement cloud-native architectures for startup customers
  • Create technical documentation, implementation guides, and customer-facing assets
  • Provide detailed technical guidance on AWS services and best practices
  • Contribute to internal knowledge bases and reusable solution templates

Domain Expertise (depth in at least two) :

  • ML / AI Infrastructure :
  • Implement training and inference systems using AWS AI / ML services
  • Deploy end-to-end ML pipelines using AWS native tools
  • Optimize model serving architectures for performance and cost
  • Cloud Native & Kubernetes :
  • Design and implement EKS-based solutions and microservices architectures
  • Apply container security and operational best practices
  • DevOps & Reliability :
  • Implement CI / CD pipelines and IaC solutions using AWS native tools
  • Apply architectural best practices for high availability and scaling
  • Data Engineering :
  • Design data pipelines and analytics solutions using AWS services
  • Implement data governance and security controls
  • AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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

    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 & 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 in the cloud.

    BASIC QUALIFICATIONS

  • 5+ years of design, implementation, or consulting in applications and infrastructures experience
  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Technical expertise in at least two domains : ML / AI Infrastructure, Cloud Native & Kubernetes, DevOps & Reliability, or Data Engineering
  • Strong programming skills with proficiency in multiple languages, plus extensive knowledge of distributed systems, container orchestration, and microservices architecture
  • Demonstrated ability to provide technical leadership through documentation creation, implementation guidance, and direct stakeholder engagement
  • Practical experience with ML / AI frameworks, data engineering concepts, and implementing secure, scalable solutions using AWS native tools and services
  • PREFERRED QUALIFICATIONS

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev / ops perspective
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

    Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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    Solution Architect • San Francisco, California, USA

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