Sr. Solutions Architect, Media, Entertainment,...
Role details
Job location
Tech stack
Job description
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
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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.
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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.
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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.
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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.
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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.
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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., 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.
Requirements
8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
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3+ years of design, implementation, or consulting in applications and infrastructures experience
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10+ years of IT development or implementation/consulting in the software or Internet industries experience
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Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Preferred Qualifications
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Experience architecting/operating solutions built on AWS
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Experience with distributed systems at scale
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Experience in Kubernetes, Docker or containers ecosystem, or experience in software development
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Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
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Experience building large-scale, high-throughput, 24x7 data systems
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Experience using generative AI tools and techniques to accelerate solution development, rapid prototyping, and proof-of-concept delivery
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Familiarity with media, entertainment, gaming, or sports industry workloads
Benefits & conditions
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., 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