Kafka：16,840 個職缺
瀏覽與 Kafka 相關的開放職缺。
Java Developer
Middle Java backend developer at an IT company building and extending an internal platform on Java 21 using Spring Boot, Apache Kafka, and microservice architectures.
Senior Data Engineer
Senior Data Engineer on Roku's Amoeba team in Bengaluru, owning the data pipelines that power the company's TV-streaming experimentation platform. Day-to-day work involves designing large-scale big-data ingestion and aggregation workflows using Python, Spark, Airflow, Kafka, Hive, and Presto/Trino on hybrid cloud infrastructure.
Senior Software Engineer
Senior engineer on the Pear Deck Learning team (K-12 EdTech) building full-stack features across Node.js/Express and Go gRPC backends and a React 18/TypeScript frontend, with real-time infrastructure, polyglot data, AWS/GCP ops, and LLM integrations serving hundreds of thousands of teachers and students in real time.
Senior Software Engineer, Backend & Data Platform
Senior backend engineer on Roku's Content Platform team in Bengaluru, designing and optimizing distributed data pipelines and real-time processing systems using Java, Spring Boot, Spark, Kafka, and Flink at large scale.
Senior Machine Learning Engineer, Content Platform
Build and own ML/AI systems on Roku's Content Platform — designing entity matching, content deduplication, GenAI summarization, and deep-learning/vision pipelines that enrich content metadata powering Search, Recommendations, Ads, and Voice for millions of streaming users.
Senior Data Engineer
Senior Data Engineer on Roku's Content Data Engineering team in Bangalore, building scalable batch and streaming big data pipelines (Spark, Kafka, Hive, Airflow, Presto/Trino) on AWS/GCP that process tens of terabytes daily and power analytics across Roku's TV streaming platform.
Senior Data Engineer
Senior Data Engineer at Roku designing data models and building highly scalable batch and streaming pipelines that process tens of terabytes daily into a petabyte-scale warehouse, using Spark, Kafka, Hive, Airflow, Presto/Trino, Python, and AWS/GCP.
Senior Software Engineer - Ads Analytics
Senior Software Engineer on Roku's Data Insights team designing and building scalable APIs, backend services, and big-data pipelines that power ad measurement and analytics. Works with Spring Boot, Apache Spark, Airflow, Druid, Trino, and StarRocks in a hybrid San Jose role.
Senior Data Engineer
Senior Data Engineer at Roku building scalable, fault-tolerant big data pipelines (batch and streaming) processing tens of terabytes daily into a petabyte warehouse, focused on device metrics. Core stack: Python, SQL, Spark, Kafka, Hive, Airflow, Presto on AWS/GCP.
Senior Machine Learning Engineer
Designs, builds, and scales distributed ML platform services (feature store, real-time inference, vector DBs) that power personalized content recommendations across Roku's TV streaming platform, using big data tooling and ML frameworks.
Senior Software Engineer, MLOps/SRE
Senior MLOps/SRE engineer on Roku's Advertising Performance team, designing and operating cloud-native ML infrastructure on GCP and AWS using Kubernetes, Spark, Airflow, Ray, and MLflow to power large-scale, low-latency training and inference for ads optimization.
Senior Software Engineer - Data Platform
Senior Software Engineer on Roku's Data Platform team in Bengaluru, architecting and optimizing big data systems (Spark, Trino, Kafka, Iceberg) on AWS/GCP, tuning distributed query engines, supporting internal customers with on-call, and contributing to open source.
Senior Data Engineer, Python, Spark
Senior Data Engineer designing data models and building scalable batch and streaming pipelines on a petabyte-scale big data platform that powers analytics for Roku's TV streaming devices and apps. Core stack centers on Python, Spark, SQL, and the Hadoop ecosystem (HDFS, YARN, Hive, Kafka, Airflow, Presto).
Senior Data Engineer, Python, Spark
Senior Data Engineer designing data models and building scalable batch and streaming pipelines on Roku's petabyte-scale big data platform, processing tens of terabytes daily across devices, web, and mobile using Python and Spark.