Prime Video & Amazon MGM Studios
Software Development Engineer (Product Engineer), Prime Video Content Analytics
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Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
To help a growing organization scale features to Prime Video customers, our team is looking for a full stack software engineer to revamp Prime Video's launch planning and analytics platform. You will get the opportunity to work on a critical internal product with attained business validation and greenfield tech projects on the roadmap. We are looking for an engineer that is eager to learn, entrepreneurial, and excited about distributed computing, web development, and data.
Join us in pioneering the next era of streaming!
Key job responsibilities
You will work as a Full-stack Software/ Product Engineer. You will directly collaborate with the business, product, and team members to architect and build enterprise-scale systems used across the world wide Prime Video organization. You will build features for internal web applications, work on backend services, and pipelines to vend data across our analytics platform.
About The Team
The Prime Video Content Analytics team is a diverse group of skilled professionals dedicated to developing Software and Business Intelligence products to enable internal stakeholders to plan, configure and track content launches on Prime Video. Amongst others, our work impacts investment decisions for streaming content, the personalization on Prime Video’s storefront, and the digital supply chain of getting content from the studios to the Prime Video app.
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Our team values curiosity, rapid iteration, and a willingness to challenge assumptions to help shape what we build, not just how we build it. Engineers work closely with the business, product, and leadership to explore ideas, test lightweight solutions, and ship meaningful improvements quickly.
Basic Qualifications
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience building complex software systems that have been successfully delivered to customers, or experience (non-internship) in professional software development
- Experience leading and influencing your team or organization, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience working directly with business stakeholders to translate between data and business needs
- Proven ability to operate effectively in ambiguous, cross‑functional environments: clarifying goals, working directly with non‑engineering stakeholders, and translating customer workflows into product and technical changes
- Hands-on experience with AI-assisted development workflows. Demonstrated usage of LLMs and agentic coding tools in day-to-day engineering, including writing specs, designing agentic loops, and integrating these tools into the team's development practices
- Strong interest in LLMs, agents, and AI tooling, demonstrated through self‑directed learning or hands‑on work (e.g., side projects, prototypes, open-source contributions), and staying current with industry advancements
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Significant experience in working with relational and non-relational databases
- Deep experience building modern data-heavy web applications
- Prior experience operating services on AWS or other Cloud technologies in a production environment, including monitoring, alerting, and cost awareness
- Experience building agentic features or harnesses, including defining the agent loop, designing tools, managing context budget, and adding human-oversight
- Experience building and operating LLM-powered tools or features in production, including context engineering, eval-driven iteration, and handling non-determinism in production behavior
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Company - Amazon Development Centre (London) Limited
Job ID: A10407684
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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