Sde - Core Video Delivery Technologies, Playback

12 hours ago

Bengaluru, India ADCI - Karnataka Full time

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.
- Bachelor’s Degree in Computer Science or related field
- Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education
- 3+ years professional experience in software development
- Computer Science fundamentals in object-oriented design
- Computer Science fundamentals in data structures
- Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
- Proficiency in at least one modern programming language such as C, C++, C#, Java

Job summary The Playback Optimization team owns and operates the software and services that iteratively optimize the quality and reliability of Prime Video playback by leveraging insights gained through the direct observation of our customers. Our services and systems are invoked each time our customers click play to ensure that playback parameters are tailored to deliver the best possible Quality of Experience. We develop new player heuristics and use ML models and simulation to increase customer engagement, detect QoS anomalies, and drive programmatic improvements to playback quality. A day in the life You will have an opportunity to explore, innovate, invent and simplify various Playback state-of-art Optimization services and algorithms which leverage both custom and Industry proven Machine Learning, Natural Language processing and Artificial Intelligence technologies. In this role you will have an opportunity to collaborate with a team of ML/AI scientists to influence our overall Playback Optimization technical strategy and help define the team’s long-term technical road map. You will spearhead best practices that enable a quality product, and help coach and develop junior engineers. About the hiring group Playback prediction and Performance team owns 1) all of the efforts around quality of experience monitoring which enable timely, accurate and automated detection of QoS performance degradations and identify opportunities to improve playback experience, 2) automated ML based review and sentiment analysis system that will proactively analyze posts across social media feeds, customer reviews to automatically establish relational models to identify and cross correlate issues detected by tools such as Anomaly detection and last mile monitoring systems. 3) all of the frameworks for offline experimentation and validation for evaluating industry proven adaptive bit-rate algorithms which allows us to rapidly experiment without running A/B tests in the field to improve playback experience for both VOD and large-scale live events.
- Experience taking a leading role in building complex software systems that have been successfully delivered to customers
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with distributed computing and enterprise-wide systems
- Experience influencing software engineers best practices within your team
- Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between.

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