Sr Solutions Architect, Awsi Megs

Amazon Amazon · Big Tech · San Francisco, CA · Solutions Architect

This role is for a Senior Solutions Architect at AWS, focusing on the Media and Entertainment industry. The primary responsibilities include educating customers and internal stakeholders on emerging technologies and solutions, providing architectural guidance for customer projects, and creating content. The role requires extensive experience in technology domains, cloud computing, and IT implementation, with a preference for Games Industry experience.

What you'd actually do

  1. Architect and deliver innovative, customer-obsessed solutions leveraging AWS services and partner offerings.
  2. Foster strategic partnerships with key industry players, driving thought leadership and shaping industry trends.
  3. Create high-quality enablement content, including guidance, blogs, demos, POCs, and presentations.
  4. Engage with customers, partners, and industry events to inspire and educate on the transformative potential of AWS solutions.
  5. Deliver written and spoken communications on complex ad-technology/content monetization subjects and establish AWS as the public cloud of choice for industry organizations looking to accelerate revenue growth and improve return on assets.

Skills

Required

  • 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

Nice to have

  • 8+ years of infrastructure architecture, database architecture and networking experience
  • Experience working with end user or developer communities
  • Knowledge of AWS services, market segments, customer base and industry verticals
  • 6+ years of Games Industry (supporting title Development, Release, or Live Ops) experience, or Bachelor's degree within last 12 months in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field