Amazon.com-posted 3 months ago
$138,200 - $239,000/Yr
Full-time • Senior
San Francisco, CA
5,001-10,000 employees
General Merchandise Retailers

We're seeking a Senior Solutions Architect who combines deep hands-on technical expertise with the ability to build scalable mechanisms that amplify the effectiveness of our Startup Solutions Architecture team. This role requires a rare blend of builder's depth and strategic impact: someone who can still design, code, and operate systems at scale, while also creating programs, frameworks, and reusable assets that multiply impact across hundreds of startups. This role offers the chance to shape how AWS engages startups at scale - while working at the frontier of cloud + data + AI innovation.

  • Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
  • Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
  • Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
  • Mentor SAs and drive technical upskilling programs that elevate the entire team's capabilities.
  • Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
  • Translate insights into actionable guidance for startups and scalable mechanisms for the org.
  • Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.
  • Build repeatable solutions and reference architectures addressing common startup pain points.
  • Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
  • Act as a 'co-founder whisperer' - translating complex technical trade-offs into pragmatic startup-stage guidance.
  • 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
  • Technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
  • Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
  • Technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
  • Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.
  • Experience building, deploying, and operating systems and infrastructure at hyperscale.
  • Contributions to open-source or developer communities.
  • A portfolio of technical publications, talks, or thought leadership.
  • The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.
  • Flexible work hours and arrangements.
  • Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
  • Endless knowledge-sharing, mentorship and other career-advancing resources.
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