Job description

What happens when the world’s most innovative engineers collaborate with the world’s most creative storytellers? TV gets reinvented. Meet the re-inventors: Apple Services' Video Engineering (ASE Video). ASE Video teams have embarked on a journey to build the next-generation sports and media experience. In the ASE Video teams, we work every day to create products that enrich people’s lives. The teams build and manage the Apple TV app as well as tvOS, which redefined and refined the way people watch movies, TV shows, sports, and so much more. The ASE Video group is looking for a Software Engineer to join our Universal Media Engineering team. The Universal Media Engineering team leads the data platform and related tools that power the Apple TV app. We 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 collaborate closely with a diverse set of teams that include engineering, project management, business operations, design and curation, 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. They work multi-functionally with teams across Apple to build a seamless experience. This group is seeking a highly skilled Backend Engineer to help design, develop, and deliver new experiences for our customers. Join the team to see what else is possible! 5+ years building resilient, high-scale distributed microservices in production (serving millions of users or comparable event/request volume) Proficiency in Java or another object-oriented language Production experience designing and operating event-driven / streaming systems (e.g., Kafka, Kinesis, Pulsar) — pub/sub, async, or stream processing at scale Hands-on experience building large-scale data pipelines on a big-data framework (e.g., Apache Spark) Experience productionizing personalization / recommendation / ranking algorithms — deploying, serving, and monitoring them in a live system (not offline training only) Experience building or operating notification / message-delivery systems across one or more channels (push, email, SMS, in-app) Proficient in algorithms and data structures Experience with SQL & NoSQL datastores (e.g., PostgreSQL, Cassandra, DynamoDB, MySQL) and Redis Bachelor’s degree in CS, CE, EE, or a related technical field — or equivalent industry experience Effective written and verbal communication; able to make progress with incomplete requirements Experience partnering directly with data scientists to move models from notebook to production Feature stores, online/offline serving, model monitoring, and A/B experimentation Multi-channel delivery at scale — rate-limiting, dedup, and delivery-guarantee design Experience with CI/CD and cloud environments (AWS, GCP, or Azure) Advanced stream/data processing (e.g., Flink, Beam, Spark Structured Streaming) Master’s degree in a related technical field

Requirements

Must-haves

5+ years building resilient, high-scale distributed microservices in production (serving millions of users or comparable event/request volume)
Proficiency in Java or another object-oriented language
Production experience designing and operating event-driven / streaming systems (e.g., Kafka, Kinesis, Pulsar) — pub/sub, async, or stream processing at scale
Hands-on experience building large-scale data pipelines on a big-data framework (e.g., Apache Spark)
Experience productionizing personalization / recommendation / ranking algorithms — deploying, serving, and monitoring them in a live system (not offline training only)
Experience building or operating notification / message-delivery systems across one or more channels (push, email, SMS, in-app)
Proficient in algorithms and data structures
Experience with SQL & NoSQL datastores (e.g., PostgreSQL, Cassandra, DynamoDB, MySQL) and Redis
Bachelor’s degree in CS, CE, EE, or a related technical field — or equivalent industry experience
Effective written and verbal communication; able to make progress with incomplete requirements
Experience partnering directly with data scientists to move models from notebook to production
Feature stores, online/offline serving, model monitoring, and A/B experimentation
Multi-channel delivery at scale — rate-limiting, dedup, and delivery-guarantee design
Experience with CI/CD and cloud environments (AWS, GCP, or Azure)
Advanced stream/data processing (e.g., Flink, Beam, Spark Structured Streaming)
Master’s degree in a related technical field

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

javasqlci/cdawsgcpazure

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision