5 real time data engineer jobs at 2 companies in Seaside, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience building end-to-end ML deployment and low-latency inference infra for real-time ad systems; handling large-scale data with Spark; forecasting ad metrics; building scalable simulations; cross-functional collaboration.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
7+ YOESenior backend engineer with 7+ years in distributed data processing, expert in Java, Spark/Kafka/Flink, and cloud platforms; strong distributed systems and real-time data pipelines.
Java, Akka, Spring Boot, Apache Spark, Kafka, Flink, DynamoDB, Aerospike, AWS, Azure, Google Cloud, Docker, Kubernetes, SQL, NoSQL
New York City or Seattle or Los Angeles or Los Gatos
$388k-$558k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experience designing and operating large-scale identity graphs and identity resolution (deterministic & probabilistic) in batch and near-real-time; familiarity with ad tech, data governance/privacy, and big data tools such as Spark.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
10+ YOE5+ Mgmt10+ years software/data engineering; 5+ years engineering leadership; domain experience in real-time data pipelines, CI/CD, or experimentation; experience building shared tooling; leading distributed teams across time zones.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Experienced engineering manager to lead cross-domain squads in release delivery and real-time observability; preferred 10+ years engineering and 5+ years people management; experience with distributed systems, data pipelines, and CI/CD.