Sr. Ssa, Amazon Ec2 Spot, Amazon Ec2

Amazon Amazon · Big Tech · Seattle, WA · Solutions Architect

This role is for a Senior Specialist Solutions Architect (SSA) within Amazon EC2 Spot, focusing on helping customers optimize their workloads using EC2 Spot Instances. The role involves partnering with engineering, business development, and field teams to drive adoption of EC2 Spot, particularly for GPU-accelerated instances used in machine learning training and inference. The SSA will also develop technical content, provide customer feedback to product teams, and drive enablement initiatives for internal teams. The role is customer-facing and involves technical sales and architecture guidance, not direct AI/ML model development.

What you'd actually do

  1. Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.
  2. Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers’ largest and most critical business challenges.
  3. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
  4. Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives.
  5. Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures.

Skills

Required

  • Experience implementing a cloud-based technology solution
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • 7+ years designing, implementing

Nice to have

  • deep domain-specific expertise
  • advanced concepts and feature designs
  • scalable, flexible, and resilient technical architectures
  • complex challenges that require expert-level knowledge
  • optimizing workloads using Amazon EC2 Spot Instances
  • fault-tolerant and flexible compute workloads
  • Spot pricing models
  • interruption handling strategies
  • maximizing cost savings
  • enablement initiatives
  • GPU-accelerated instances for machine learning training, inference, and high-performance computing workloads