Software Engineer, Distributed Systems - Apple TV Job at Apple in San Diego

Software Engineer, Distributed Systems - Apple TV

San Diego, California, United States

Software and Services

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. 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. Our engineers employ their talent and tools to write the code that makes these experiences possible. We offer an environment where you are an integral part of an innovative, impactful team making a difference.

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

1. 3+ years of experience working with Java or Python
2. Experience with Kafka or ActiveMQ or similar messaging frameworks
3. Experience with NoSQL datastores like Cassandra, DynamoDB, PostgreSQL, MySQL, etc.
4. Proficient in algorithms and data structures
5. Driven to deliver high-quality solutions consistently and quickly.
6. Ability to communicate effectively, both verbal and written.
7. Ability to solve problems given incomplete or partial data and/or requirements
8. Bachelor’s in CS or equivalent industry experience.

Key Qualifications

Preferred Qualifications

1. Data analytics using Python and Spark. Experience with data mining techniques and record linkage systems.
2. Experience working with Kubernetes
3. Experience working with Solr/Elasticsearch, Redis.
4. Familiarity with async and reactive programming using Project Reactor, RxJava, asyncio, etc.
5. Masters degree is a plus.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

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.

#J-18808-Ljbffr