Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
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 offering customers a vast collection of TV shows and movies, including Amazon Originals, exclusive licensed content, and live sports events. Members can also subscribe to add-on channels or rent and buy new release movies and TV box sets on the Prime Video Store. Available in over 200 countries and territories worldwide, Prime Video is a fast-paced, growth business where innovation on behalf of customers is at the heart of everything we do.

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 have the opportunity to work on a critical internal product with business validation and greenfield tech projects on the roadmap. We seek an engineer eager to learn, entrepreneurial, and excited about distributed computing, web development, and data. Join us in pioneering the next era of streaming!

As a Full-stack Software/Product Engineer, you will collaborate directly with business, product, and team members to architect and build enterprise-scale systems used across the worldwide Prime Video organization. You will build features for internal web applications, 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 that enable internal stakeholders to plan, configure, and track content launches on Prime Video. Our work impacts investment decisions for streaming content, personalization on Prime Video's storefront, and the digital supply chain from studios to the Prime Video app. We value 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 business, product, and leadership to explore ideas, test lightweight solutions, and ship meaningful improvements quickly.

Experience
- Programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Building complex software systems successfully delivered to customers or professional software development experience (non-internship)
- Leading and influencing teams or organizations, or leading architecture and design of new and current systems
- Working directly with business stakeholders to translate between data and business needs
- Operating effectively in ambiguous, cross-functional environments by clarifying goals and translating customer workflows into product and technical changes
- Hands-on experience with AI-assisted development workflows, including usage of LLMs and agentic coding tools in day-to-day engineering
- Strong interest in LLMs, agents, and AI tooling demonstrated through self-directed learning or hands-on work

About you
Entrepreneurial, eager to learn, and excited about distributed computing, web development, and data. You thrive in dynamic environments and enjoy collaborating across teams to deliver impactful solutions.

Qualifications
- Bachelor's degree in computer science or equivalent preferred
- Experience building and operating highly available distributed systems for data extraction, ingestion, and processing large data sets
- Familiarity with big data processing technologies such as Hadoop or Apache Spark, data warehouse architecture, ETL, and analytic tools
- Significant experience with relational and non-relational databases
- Deep experience building modern data-heavy web applications
- Prior experience operating services on AWS or other cloud platforms in production, including monitoring, alerting, and cost awareness
- Experience building agentic features or harnesses, including defining agent loops, designing tools, managing context budgets, 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