The AWS Media, Entertainment, Games & Sports (MEGS) Solutions Architecture team, within AWS Industries, partners with the world's largest entertainment companies as embedded technical advisors and hands-on builders. We work across the full breadth of our customers' technology challenges from streaming infrastructure and distributed systems to data platforms, AI/ML, cloud-native development, and beyond, designing solutions at scale using AWS.
We are seeking a Sr. Solutions Architect to partner with one of the largest engineering organizations in entertainment, building direct-to-consumer (DTC) streaming platforms, global ad technology, content distribution systems, and the cloud infrastructure that ties it all together. The workloads are wide-ranging: AI-driven personalization, media processing, big data pipelines, infrastructure automation, and generative AI. The ideal candidate brings hands-on distributed systems experience, deep fluency with cloud technology, and the learning agility to ramp quickly across diverse technology domains. Attitude and aptitude matter more than exhaustive expertise and the role provides ample opportunity to learn and develop new skills.
Key job responsibilities
- Customer Engagement: Work backwards from the customer to drive AWS adoption across use cases such as direct-to-consumer (DTC) streaming, ad technology, content distribution, and media processing workloads, building trusted relationships with senior leadership.
- Systems Architecture & Design: Advise customers on architectural decisions for cloud-based media solutions spanning distributed systems, data pipelines, personalization, and content delivery. Run technical workshops and deep-dives with engineering teams.
- Hands-On Development: Gather requirements, design solutions, and build working prototypes and proof-of-concepts using AWS services and partner offerings to accelerate projects. Use the latest AI developer tools to accelerate delivery and iterate rapidly.
- Generative AI & ML: Partner with the customer to identify and advance generative AI and machine learning use cases (such as personalization, content intelligence, operational automation), from initial exploration through production deployment.
- Best Practices & Thought Leadership: Develop and publish best practices, reference architectures, and technical guidance on AWS. Author whitepapers, blog posts, tutorials, and presentations. Participate in industry conferences and events to share knowledge with the broader community.
- Cross-Functional Coordination: Orchestrate AWS service teams, specialist SAs, and account resources to address customer needs. Drive customer feedback into AWS service team roadmaps, acting as the voice of media and entertainment customers.
About the team
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job 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 (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.
- 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
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
- Experience with distributed systems at scale
- Experience in Kubernetes, Docker or containers ecosystem, or experience in software development
- Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience using generative AI tools and techniques to accelerate solution development, rapid prototyping, and proof-of-concept delivery
- Familiarity with media, entertainment, gaming, or sports industry workloads
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. 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Irvine - 153,600.00 - 207,800.00 USD annually
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, CA, Santa Monica - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
