Amazon

Sr. Solutions Architect, AWS Industries - Media & Entertainment, Games and Sports (AWSI-MEGS)

Amazon London, England, United Kingdom

Software Development · 10,001+ employees

7 h ago
software-architect Senior (5-10 yrs) Full-time United Kingdom
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About the role

You will act as a trusted technical advisor to media and entertainment customers, designing scalable and secure cloud solutions on AWS. You will also lead technical discussions, build prototypes, and contribute reusable architecture patterns to the broader AWS community.

What they look for

Cloud Computing AWS Software Development Systems Engineering Infrastructure Design Security Networking Data & Analytics Generative AI Media & Entertainment Streaming Ad Tech Prototyping Technical Consulting Architecture Design Stakeholder Management

Requirements

Candidates must have a bachelor's degree in a technical field and significant experience in IT development, consulting, or cloud architecture. Proficiency in at least one programming language and deep expertise in AWS infrastructure are required.

Full description

Are you a hands-on technologist who loves solving complex customer problems? Do you enjoy working with engineering teams and technical leaders to design solutions that deliver real business results? If so, we want to hear from you. As a Senior Solutions Architect at Amazon Web Services (AWS), you'll partner with media and entertainment customers to design and deliver cloud solutions that are scalable, secure, cost-optimized and high-performing. You'll be the trusted technical advisor for your accounts, turning business requirements into practical architectures and guiding customers from early ideas through to production. Your technical depth, customer focus and clear communication will help organizations adopt AWS and succeed with it. Your customer insights will also help shape the AWS services that customers build on.

Key job responsibilities

  • Own the technical relationship for a set of strategic customer accounts. Work backward from customer business goals to design end-to-end solutions that are extensible, secure, reliable and cost-optimized.
  • Build trust with customer architects, engineering leaders and technical decision-makers. Understand their challenges and guide architecture decisions that support both near-term delivery and long-term goals.
  • Lead deep technical discussions on design choices, best practices and the trade-offs between implementation options. Spot and reduce risks early, and steer customers away from approaches that are needlessly complex.
  • Create and deliver technical content such as presentations, workshops, reference architectures and sample code that help customers apply AWS best practices.
  • Work with account managers, professional services, partners, support and service teams to speed up adoption. Contribute reusable patterns and assets to the wider Solutions Architecture community.
  • Build deep expertise in one or more media domains (streaming, media supply chain, ad tech) and in generative AI, and keep your knowledge current as the industry changes.
  • Build and present hands-on prototypes, demos and proofs of concept that prove technical feasibility and speed up the path to production.
  • Work with ISVs and industry partners to design and validate joint solutions across live streaming, media asset management, and ad delivery and personalization.
  • Pass customer feedback and feature requests to AWS service teams so the product roadmap reflects what customers actually need.
  • Share what you know through blogs, conference talks and community events, and mentor other SAs to grow technical depth across the team.

A day in the life You might start your morning getting ready for an architecture review with a streaming customer's engineering leads. You'd look over their current video delivery setup and find places where AWS services could improve scale, resilience or cost. Mid-morning, you could be at the whiteboard with their developers, designing a live-event workflow and weighing the trade-offs between reliability, latency and cost. After lunch, you might be hands-on building a generative AI proof of concept that automates metadata tagging for a media asset library. Later, you'd meet with your account manager to plan next steps for the customer. You might finish the day by writing up a feature request for an AWS service team based on what you heard from customers, or by reviewing a reference architecture with a fellow SA you're mentoring.

About the team We're the AWS Media, Entertainment, Games and Sports (MEGS) Solutions Architecture team, and our vision is simple: we meet our customers where they are, design what's next, prove what's possible, and scale what matters for every fan, every story, every screen, and every experience. #InventForFans

We come with a point of view, staying on the frontier of technology and pushing it where it matters most to our customers. We're builders who roll up our sleeves to create demos, proofs of concept, and prototypes, because a working idea beats a slide every time. We collaborate across account teams, specialists, and service teams, acting as the connective tissue that shapes what gets built next. And we scale our thinking, turning what we learn in the field into patterns and reference architectures that the whole industry can use. Every activity backs an outcome for our customers, and we're intentional about the work that matters.

Basic Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military - 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 - Experience programming with at least one software programming language - Experience architecting/operating solutions built on AWS

Preferred Qualifications: - Experience working with end user or developer communities - Experience in data science, business analytics, business intelligence, or similar experience in big data environments - Experience solving problems with technology in the Media & Entertainment Industry - Experience developing, deploying and managing AI products at scale - Experience leveraging AI-powered tools or data analytics platforms to drive quality improvements, root cause analysis, or process optimization - Experience in B2B, digital advertising, and ad-tech products/services

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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