
51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
📣 Marketing
💰 $23.7M Series A on 2021-09
Consulting • Logistics • Marketing
StreamNative is a cloud-native data streaming platform that specializes in real-time messaging, streaming, and AI solutions. Powered by the Ursa engine, the platform offers a scalable, high-performance, and cost-efficient data streaming service that is Kafka API-compatible and designed for deployment on any cloud infrastructure. StreamNative provides solutions for building event-driven architectures, streaming-augmented lakehouses, and modern data pipelines. With its extensive connectivity options, including over 200 connectors for integration with diverse data sources, StreamNative empowers businesses to optimize real-time data ingestion and analytics. The platform supports Pulsar and Kafka in a fully managed environment, ensuring enterprise-grade security, reliability, and seamless integration with existing systems.
🔥 1 minute ago
🏄 California – Remote
💵 $150k - $180k / year
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on StreamNative's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

51 - 200 employees
Founded 2020
💼 Consulting
📦 Logistics
📣 Marketing
💰 $23.7M Series A on 2021-09
Consulting • Logistics • Marketing
StreamNative is a cloud-native data streaming platform that specializes in real-time messaging, streaming, and AI solutions. Powered by the Ursa engine, the platform offers a scalable, high-performance, and cost-efficient data streaming service that is Kafka API-compatible and designed for deployment on any cloud infrastructure. StreamNative provides solutions for building event-driven architectures, streaming-augmented lakehouses, and modern data pipelines. With its extensive connectivity options, including over 200 connectors for integration with diverse data sources, StreamNative empowers businesses to optimize real-time data ingestion and analytics. The platform supports Pulsar and Kafka in a fully managed environment, ensuring enterprise-grade security, reliability, and seamless integration with existing systems.
• Design, implement, and maintain core components of the streaming platform, including Kafka-compatible APIs, storage systems, metadata management, and distributed services. • Solve complex engineering problems involving distributed systems, storage, networking, and performance optimization. • Improve reliability through profiling, benchmarking, and testing. • Debug and resolve production issues in large-scale distributed environments. • Work closely with customers and field teams to understand real-world streaming use cases and deliver effective technical solutions. • Contribute to open-source projects and improve the developer experience of streaming platforms. • Participate in a rotating on-call schedule one week per month, supporting customer tickets. • Build reliable infrastructure powering real-time data applications for developers and enterprises worldwide as part of the Platform Engineering team.
• 5+ years of experience building large-scale distributed systems, backend infrastructure, or cloud services. • Strong understanding of Apache Kafka, Apache Pulsar, or other distributed messaging systems. • Experience with distributed systems concepts, including replication, consistency, fault tolerance, scalability, and distributed storage. • Experience with Kafka internals, including the Kafka protocol, broker architecture, KRaft, tiered storage, log storage, and compaction. • Experience building cloud-native streaming or storage systems. • Strong programming skills in Java, Scala, or other systems programming languages. • Experience designing and operating reliable production systems. • Strong debugging and performance optimization skills. • Ability to independently own projects from design through implementation and production deployment. • Good communication skills and ability to collaborate effectively with cross-functional teams. • Familiarity with object storage technologies such as S3, GCS, or Azure Blob Storage. • Experience with lakehouse technologies such as Apache Iceberg or Parquet. • Experience with Kubernetes and cloud-native infrastructure.
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