Apple Inc.
Software Engineer, Distributed Systems - Apple TV
Apple Inc., San Diego, California, United States, 92154
Software Engineer, Distributed Systems - Apple TV The Universal Media Engineering team leads the data platform that powers Apple TV. We have embarked on a journey to build the next-generation sports and media knowledge graph and are looking for enthusiastic, self-starting individuals who can bring new ideas and innovations to the platform and push the boundaries of scalability, latency and quality. Does this sound like you? If so, we want to speak with you. As a Software Engineer, you will be responsible for designing and building services that directly impact millions of users. You'll be tackling complex problems in distributed systems, graph traversal, information retrieval and data analytics. You'll collaborate closely with a diverse set of teams that include engineers, project managers, designers and curators, working towards a common vision of delivering the best possible Apple TV experience for our customers.
Do you have the skills to fill this role Read the complete details below, and make your application today. Description Design, develop, test, and deploy event-based micro-services that handle multi-source sports and media metadata that feed into a knowledge graph. Design algorithms for processing of metadata across a multitude of media types like movies, TV shows, sporting events, etc. Design and implement services using Java, leveraging infrastructure components like Kafka, Cassandra, Redis, Solr, PostgreSQL, Kubernetes, etc. Analyze data from providers and partners using Python and Spark in order to distill insights that can improve the quality of the knowledge graph. Provide technical leadership and drive overall design and planning. Minimum Qualifications 3+ years of experience working with Java or Python Experience with Kafka or ActiveMQ or similar messaging frameworks Experience with NoSQL datastores like Cassandra, DynamoDB, PostgreSQL, MySQL, etc. Proficient in algorithms and data structures Driven to deliver high quality solutions consistently and quickly. Ability to communicate effectively, both verbal and written. Ability to solve problems given incomplete or partial data and/or requirements Bachelor’s in CS or equivalent industry experience. Preferred Qualifications Data analytics using Python and Spark. Experience with data mining techniques and record linkage systems. Experience working with Kubernetes Experience working with Solr/Elasticsearch, Redis Familiarity with async and reactive programming using Project Reactor, RxJava, asyncio, etc. Masters degree is a plus Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Do you have the skills to fill this role Read the complete details below, and make your application today. Description Design, develop, test, and deploy event-based micro-services that handle multi-source sports and media metadata that feed into a knowledge graph. Design algorithms for processing of metadata across a multitude of media types like movies, TV shows, sporting events, etc. Design and implement services using Java, leveraging infrastructure components like Kafka, Cassandra, Redis, Solr, PostgreSQL, Kubernetes, etc. Analyze data from providers and partners using Python and Spark in order to distill insights that can improve the quality of the knowledge graph. Provide technical leadership and drive overall design and planning. Minimum Qualifications 3+ years of experience working with Java or Python Experience with Kafka or ActiveMQ or similar messaging frameworks Experience with NoSQL datastores like Cassandra, DynamoDB, PostgreSQL, MySQL, etc. Proficient in algorithms and data structures Driven to deliver high quality solutions consistently and quickly. Ability to communicate effectively, both verbal and written. Ability to solve problems given incomplete or partial data and/or requirements Bachelor’s in CS or equivalent industry experience. Preferred Qualifications Data analytics using Python and Spark. Experience with data mining techniques and record linkage systems. Experience working with Kubernetes Experience working with Solr/Elasticsearch, Redis Familiarity with async and reactive programming using Project Reactor, RxJava, asyncio, etc. Masters degree is a plus Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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