SDE II - Full Stack, Content Analytics, Prime Video
Amazon
Mumbai, IND
5d ago

Job summary

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you?

If you answered yes, we have an opportunity for you!

To help a growing organization scale features to Prime Video customers, our team is looking for a full stack SDE to revamp Prime Video's Analytics platform.

The analytics tool is the most used resource in Prime Video and Amazon Studios for business planning and analytics activities.

It connects all tech systems and business processes and manages information exchange in intelligent way. The tool helps business teams manage content / title programming slate, marketing prioritization and performance metrics.

Future use cases in our roadmap include title asset management, workflow management and campaign setup and experimentation.

It's still Day-1 for this product and we plan to increase our tech investments to improve decision making time for business teams by implementing solid machine learning and analytics capabilities at the backend in addition to creating an intuitive UI.

We are looking for a full stack SDE who'll drive innovation and solidify our technology stack to automate business processes and implement proactive event management capabilities to notify tech systems and Prime Video applications.

Key job responsibilities

You will help apply your deep knowledge to concrete problems our engineering teams face on a daily basis. You will collaborate with team members to design and deliver enterprise-scale systems that will be used by both internal and external customers.

You will help set and continuously evolve a culture of innovation and efficiency that helps us deliver a best in class customer experience.

You will own end to end technical components and framework focused on technology and services needed to build, scale, and operate an Amazon-caliber customer experience.

A day in the life

You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.

Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term.

You are empowered to bring new technologies including serverless compute and machine learning to your solutions. If you crave a sense of ownership, this is the place to be.

About the team

The Prime Video IN Content analytics is responsible for creating inhouse analytics, science and ML solutions and insights that drive financial investments to acquire and create content for our customers.

BASIC QUALIFICATIONS

  • 2+ years of non-internship professional software development experience
  • 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Programming experience with at least one software programming language.
  • Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Non-internship professional software development experience
  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience of taking product requirements and developing software architectures and designs to bring them to life
  • Proficiency in computer science fundamentals data structures, algorithms and OO design
  • Good communication skills and ability to work effectively on shared projects with designers, artists, testers, and other developers
  • PREFERRED QUALIFICATIONS

  • Experience building advanced visualisations using SVG, HTML5, or similar
  • Good notion of UX design and UI prototyping
  • Experience building complex software systems that have been successfully delivered to customers
  • Ability to excel in a fast-paced, startup-like environment
  • Experience building large scale distributed services
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Ability to take a project from scoping requirements through actual launch of the product
  • Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  • Experience with full-stack development
  • Good knowledge of conventional and cloud-based infrastructure, and basic networking
  • Experience designing and deploying Big Data pipelines with tools such as Hadoop, Spark or MapReduce
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